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: Zatímco Bobková vzala světové jedničce dvakrát podání, Danielu Vackovi (54.) se totéž proti nejlepšímu tenistovi světa Samprasovi ve 2. kole nepodařilo a prohrál za hodinu a 44 minut 3: 6, 4: 6, 4: 6.
Position	Tokenization	UPOS	Head	Deprel
1	Zatímco	SCONJ	3	mark
2	Bobková	PROPN	3	nsubj
3	vzala	VERB	26	advcl
4	světové	ADJ	5	amod
5	jedničce	NOUN	3	obl:arg
6	dvakrát	ADV	3	obl
7	podání	NOUN	3	obj
8	,	PUNCT	3	punct
9	Danielu	PROPN	26	obl:arg
10	Vackovi	PROPN	9	flat
11	(	PUNCT	12	punct
12	54	NUM	9	nummod
13	.	PUNCT	12	punct
14	)	PUNCT	12	punct
15	se	PRON	26	expl:pv
16	totéž	DET	26	nsubj
17	proti	ADP	19	case
18	nejlepšímu	ADJ	19	amod
19	tenistovi	NOUN	26	obl
20	světa	NOUN	19	nmod
21	Samprasovi	PROPN	19	flat
22	ve	ADP	25	case
23	2	NUM	25	nummod
24	.	PUNCT	23	punct
25	kole	NOUN	26	obl
26	nepodařilo	VERB	0	root
27	a	CCONJ	28	cc
28	prohrál	VERB	26	conj
29	za	ADP	30	case
30	hodinu	NOUN	28	obl
31	a	CCONJ	33	cc
32	44	NUM	33	nummod:gov
33	minut	NOUN	30	conj
34	3	NUM	28	obl
35	:	PUNCT	36	punct
36	6	NUM	34	conj
37	,	PUNCT	38	punct
38	4	NUM	34	conj
39	:	PUNCT	40	punct
40	6	NUM	38	conj
41	,	PUNCT	42	punct
42	4	NUM	34	conj
43	:	PUNCT	44	punct
44	6	NUM	42	conj
45	.	PUNCT	26	punct