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: Vezme se seznam nejvýznamnějších světových časopisů, v něm se spočítá četnost výskytu jmen adeptů na přidělení grantu (nebo na vyplacení prémií), popřípadě doplněná o četnost citací - a rázem máme jasný a neoddiskutovatelný žebříček zásluh.
Position	Tokenization	UPOS	Head	Deprel
1	Vezme	VERB	0	root
2	se	PRON	1	expl:pass
3	seznam	NOUN	1	nsubj:pass
4	nejvýznamnějších	ADJ	6	amod
5	světových	ADJ	6	amod
6	časopisů	NOUN	3	nmod
7	,	PUNCT	1	punct
8	v	ADP	9	case
9	něm	PRON	11	obl
10	se	PRON	11	expl:pass
11	spočítá	VERB	1	acl
12	četnost	NOUN	11	nsubj:pass
13	výskytu	NOUN	12	nmod
14	jmen	NOUN	13	nmod
15	adeptů	NOUN	14	nmod
16	na	ADP	17	case
17	přidělení	NOUN	15	nmod
18	grantu	NOUN	17	nmod
19	(	PUNCT	22	punct
20	nebo	CCONJ	22	cc
21	na	ADP	22	case
22	vyplacení	NOUN	17	conj
23	prémií	NOUN	22	nmod
24	)	PUNCT	22	punct
25	,	PUNCT	27	punct
26	popřípadě	ADV	27	advmod
27	doplněná	ADJ	12	amod
28	o	ADP	29	case
29	četnost	NOUN	27	obl:arg
30	citací	NOUN	29	nmod
31	-	PUNCT	27	punct
32	a	CCONJ	34	cc
33	rázem	NOUN	34	obl
34	máme	VERB	1	conj
35	jasný	ADJ	38	amod
36	a	CCONJ	37	cc
37	neoddiskutovatelný	ADJ	35	conj
38	žebříček	NOUN	34	obj
39	zásluh	NOUN	38	nmod
40	.	PUNCT	1	punct