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: Velmi častý je názor, že privatizace přinese odlišnou úroveň dle ekonomických možností pacienta (77%), k širšímu užití alternativní medicíny (77%), k podbízení se pacientům (58%) a ke snaze uměle prodlužovat nemoc pacienta (28%).
Position	Tokenization	UPOS	Head	Deprel
1	Velmi	ADV	2	advmod
2	častý	ADJ	0	root
3	je	AUX	2	cop
4	názor	NOUN	2	nsubj
5	,	PUNCT	8	punct
6	že	SCONJ	8	mark
7	privatizace	NOUN	8	nsubj
8	přinese	VERB	4	acl
9	odlišnou	ADJ	10	amod
10	úroveň	NOUN	8	obj
11	dle	ADP	13	case
12	ekonomických	ADJ	13	amod
13	možností	NOUN	9	obl
14	pacienta	NOUN	13	nmod
15	(	PUNCT	22	punct
16	77	NUM	22	dep
17	%	SYM	16	nmod
18	)	PUNCT	22	punct
19	,	PUNCT	22	punct
20	k	ADP	22	case
21	širšímu	ADJ	22	amod
22	užití	NOUN	2	dep
23	alternativní	ADJ	24	amod
24	medicíny	NOUN	22	nmod
25	(	PUNCT	26	punct
26	77	NUM	22	dep
27	%	SYM	26	nmod
28	)	PUNCT	26	punct
29	,	PUNCT	31	punct
30	k	ADP	31	case
31	podbízení	NOUN	22	conj
32	se	PRON	31	nmod
33	pacientům	NOUN	31	nmod
34	(	PUNCT	35	punct
35	58	NUM	22	dep
36	%	SYM	35	nmod
37	)	PUNCT	35	punct
38	a	CCONJ	40	cc
39	ke	ADP	40	case
40	snaze	NOUN	22	conj
41	uměle	ADV	42	advmod
42	prodlužovat	VERB	40	acl
43	nemoc	NOUN	42	obj
44	pacienta	NOUN	43	nmod
45	(	PUNCT	22	punct
46	28	NUM	22	dep
47	%	SYM	46	nmod
48	)	PUNCT	22	punct
49	.	PUNCT	2	punct