As a helpful and smart assistant, your task is to parse a given text in any language to Universal Dependency (UD) format including POS tags and dependency relations (HEAD and DEPREL).
Key Components of UD Annotation:
1. Tokens: The fundamental units within UD are tokens. These can be individual words, punctuation marks, or even parts of multi-word expressions. Each token has several associated attributes.
2. UPOS Tags: The UPOS field in the CoNLL-U format represents the universal part-of-speech tag assigned to each word. This tag is part of a universal POS tag set designed to be applicable across different languages. The UPOS tags include categories such as NOUN, VERB, ADJ (adjective), ADV (adverb), PRON (pronoun), DET (determiner), and more. 
3. Dependency Relations: Dependency relations are the core of the syntactic representation. They form a tree structure over the tokens in a sentence. Here's how they work:
    - HEAD: This field indicates the head of the current word. The head is the word that the current word is connected to in the dependency parse tree. The value is an integer that corresponds to the ID of the head word within the same sentence. A value of zero (0) indicates that the word is the root of the sentence.
    - DEPREL: The DEPREL field specifies the type of dependency relation between the current word and its head (as specified in the HEAD field). The value is a universal dependency relation or a language-specific subtype of such a relation.
Note: Blank lines are used to mark the boundaries between sentences.
Example:
Let's analyze this sentence with its UD annotation:
"The big dog chased the cat."
1. Tokenization:
- The
- big
- dog
- chased
- the
- cat
- .
2. UPOS Tags:
- The: DET
- big: ADJ
- dog: NOUN
- chased: VERB
- the: DET
- cat: NOUN
- .: PUNCT
3. Head node (parent):
- The: the parent of this word is "dog" at position 3
- big: the parent of this word is "dog" at position 3
- dog: the parent of this word is "chased" at position 4
- chased: this is the root node, therefore its head is 0
- the: the parent of this word is "cat" at position 6
- cat: the parent of this word is "chased" at position 4
- .: the parent of this word is "chased" at position 4
3. Dependency Relations:
- root(ROOT, chased)
- det(dog, The)
- amod(dog, big)
- nsubj(chased, dog)
- det(cat, the)
- obj(chased, cat)
Combining the above annotations, the final output in UD format is:
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	big	ADJ	3	amod
3	dog	NOUN	4	nsubj
4	chased	VERB	0	ROOT
5	the	DET	6	det
6	cat	NOUN	4	obj
7	.	PUNCT	4	punct
Generate UD annotations for the following text: Ale zatímco v západních státech zubní lékař pečuje průměrně o 1200-1400 pacientů, kteří jsou naučeni se starat o svůj chrup, protože pojišťovna jim hradí pouze část nákladů za zubní ošetření, u nás je na lékaře průměrně 2000 pacientů, z nichž někteří neměli v ruce zubní kartáček, a zbývající jedna až dvě třetiny občanů si chrup čistí nedbale, protože jim stát poskytuje bezplatnou péči.
Position	Tokenization	UPOS	Head	Deprel
1	Ale	CCONJ	38	cc
2	zatímco	SCONJ	8	mark
3	v	ADP	5	case
4	západních	ADJ	5	amod
5	státech	NOUN	8	obl
6	zubní	ADJ	7	amod
7	lékař	NOUN	8	nsubj
8	pečuje	VERB	38	advcl
9	průměrně	ADV	11	advmod
10	o	ADP	14	case
11	1200	NUM	14	nummod:gov
12	-	PUNCT	13	punct
13	1400	NUM	11	conj
14	pacientů	NOUN	8	obj
15	,	PUNCT	18	punct
16	kteří	DET	18	nsubj
17	jsou	AUX	18	cop
18	naučeni	ADJ	14	acl:relcl
19	se	PRON	20	expl:pv
20	starat	VERB	18	xcomp
21	o	ADP	23	case
22	svůj	DET	23	det
23	chrup	NOUN	20	obl:arg
24	,	PUNCT	28	punct
25	protože	SCONJ	28	mark
26	pojišťovna	NOUN	28	nsubj
27	jim	PRON	28	obl:arg
28	hradí	VERB	20	advcl
29	pouze	ADV	30	advmod:emph
30	část	NOUN	28	obj
31	nákladů	NOUN	30	nmod
32	za	ADP	34	case
33	zubní	ADJ	34	amod
34	ošetření	NOUN	31	nmod
35	,	PUNCT	8	punct
36	u	ADP	37	case
37	nás	PRON	38	obl
38	je	VERB	0	root
39	na	ADP	40	case
40	lékaře	NOUN	38	obl
41	průměrně	ADV	42	advmod
42	2000	NUM	43	nummod:gov
43	pacientů	NOUN	38	nsubj
44	,	PUNCT	48	punct
45	z	ADP	46	case
46	nichž	PRON	47	nmod
47	někteří	DET	48	nsubj
48	neměli	VERB	43	acl:relcl
49	v	ADP	50	case
50	ruce	NOUN	48	obl
51	zubní	ADJ	52	amod
52	kartáček	NOUN	48	obj
53	,	PUNCT	48	punct
54	a	CCONJ	63	cc
55	zbývající	ADJ	59	amod
56	jedna	NUM	59	nummod
57	až	CCONJ	58	cc
58	dvě	NUM	56	conj
59	třetiny	NUM	63	nsubj
60	občanů	NOUN	59	nmod
61	si	PRON	63	obl
62	chrup	NOUN	63	obj
63	čistí	VERB	38	conj
64	nedbale	ADV	63	advmod
65	,	PUNCT	69	punct
66	protože	SCONJ	69	mark
67	jim	PRON	69	obl:arg
68	stát	NOUN	69	nsubj
69	poskytuje	VERB	63	advcl
70	bezplatnou	ADJ	71	amod
71	péči	NOUN	69	obj
72	.	PUNCT	38	punct