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: V Pittsburghu je dnes druhým nejpopulárnějším hráčem týmu, což dokazuje i to, že byl naprosto jednoznačně zvolen do týmu All Stars na postu pravého křídla za výběr východní části NHL.
Position	Tokenization	UPOS	Head	Deprel
1	V	ADP	2	case
2	Pittsburghu	PROPN	7	obl
3	je	AUX	7	cop
4	dnes	ADV	7	advmod
5	druhým	ADJ	7	amod
6	nejpopulárnějším	ADJ	7	amod
7	hráčem	NOUN	0	root
8	týmu	NOUN	7	nmod
9	,	PUNCT	11	punct
10	což	PRON	11	obj
11	dokazuje	VERB	7	conj
12	i	CCONJ	13	advmod:emph
13	to	DET	11	nsubj
14	,	PUNCT	19	punct
15	že	SCONJ	19	mark
16	byl	AUX	19	aux:pass
17	naprosto	ADV	18	advmod
18	jednoznačně	ADV	19	advmod
19	zvolen	ADJ	13	amod
20	do	ADP	21	case
21	týmu	NOUN	19	obl
22	All	PRON	21	nmod
23	Stars	PROPN	22	flat:foreign
24	na	ADP	25	case
25	postu	NOUN	19	obl
26	pravého	ADJ	27	amod
27	křídla	NOUN	25	nmod
28	za	ADP	29	case
29	výběr	NOUN	19	obl:arg
30	východní	ADJ	31	amod
31	části	NOUN	29	nmod
32	NHL	PROPN	31	nmod
33	.	PUNCT	7	punct