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: Na rozdíl od fyzioložky Anny Vašků, která se v závěru svého článku (LN 9. 8.) obává kladné odpovědi na otázku, zda je v Čechách konec experimentům na zvířatech, musím říci, že si to velmi přeji a věřím, že tento stav jednou nastane nejen v Čechách.
Position	Tokenization	UPOS	Head	Deprel
1	Na	ADP	5	case
2	rozdíl	NOUN	1	fixed
3	od	ADP	1	fixed
4	fyzioložky	NOUN	5	nmod
5	Anny	PROPN	36	obl
6	Vašků	PROPN	5	flat
7	,	PUNCT	21	punct
8	která	DET	21	nsubj
9	se	PRON	21	expl:pv
10	v	ADP	11	case
11	závěru	NOUN	21	obl
12	svého	DET	13	det
13	článku	NOUN	11	nmod
14	(	PUNCT	13	punct
15	LN	PROPN	13	dep
16	9	NUM	18	compound
17	.	PUNCT	16	punct
18	8	NUM	15	nummod
19	.	PUNCT	18	punct
20	)	PUNCT	13	punct
21	obává	VERB	5	acl:relcl
22	kladné	ADJ	23	amod
23	odpovědi	NOUN	21	obl:arg
24	na	ADP	25	case
25	otázku	NOUN	23	nmod
26	,	PUNCT	28	punct
27	zda	SCONJ	28	mark
28	je	VERB	25	advcl
29	v	ADP	30	case
30	Čechách	PROPN	28	obl
31	konec	NOUN	28	nsubj
32	experimentům	NOUN	31	nmod
33	na	ADP	34	case
34	zvířatech	NOUN	32	nmod
35	,	PUNCT	28	punct
36	musím	VERB	0	root
37	říci	VERB	36	xcomp
38	,	PUNCT	43	punct
39	že	SCONJ	43	mark
40	si	PRON	43	expl:pv
41	to	DET	43	obj
42	velmi	ADV	43	advmod
43	přeji	VERB	37	ccomp
44	a	CCONJ	45	cc
45	věřím	VERB	43	conj
46	,	PUNCT	51	punct
47	že	SCONJ	51	mark
48	tento	DET	49	det
49	stav	NOUN	51	nsubj
50	jednou	ADV	51	advmod
51	nastane	VERB	45	ccomp
52	nejen	PART	54	advmod:emph
53	v	ADP	54	case
54	Čechách	PROPN	51	obl
55	.	PUNCT	36	punct