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: Prezident Václav Havel ve včerejších Hovorech uvedl, že čím více odborných expertiz z oblasti zdravotnictví četl a s čím více lékaři hovořil, tím méně je schopen sdělit svůj názor na stav tohoto resortu v jedné větě.
Position	Tokenization	UPOS	Head	Deprel
1	Prezident	NOUN	7	nsubj
2	Václav	PROPN	1	flat
3	Havel	PROPN	1	flat
4	ve	ADP	6	case
5	včerejších	ADJ	6	amod
6	Hovorech	NOUN	7	obl
7	uvedl	VERB	0	root
8	,	PUNCT	28	punct
9	že	SCONJ	28	mark
10	čím	PRON	11	obl
11	více	ADV	17	obj
12	odborných	ADJ	13	amod
13	expertiz	NOUN	11	nmod
14	z	ADP	15	case
15	oblasti	NOUN	13	nmod
16	zdravotnictví	NOUN	15	nmod
17	četl	VERB	25	acl:relcl
18	a	CCONJ	23	cc
19	s	ADP	22	case
20	čím	PRON	21	obl
21	více	ADV	22	advmod
22	lékaři	NOUN	23	obl:arg
23	hovořil	VERB	17	conj
24	,	PUNCT	17	punct
25	tím	DET	26	obl
26	méně	ADV	28	advmod
27	je	AUX	28	cop
28	schopen	ADJ	7	ccomp
29	sdělit	VERB	28	xcomp
30	svůj	DET	31	det
31	názor	NOUN	29	obj
32	na	ADP	33	case
33	stav	NOUN	31	nmod
34	tohoto	DET	35	det
35	resortu	NOUN	33	nmod
36	v	ADP	38	case
37	jedné	NUM	38	nummod
38	větě	NOUN	29	obl
39	.	PUNCT	7	punct