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: Dvouhra mužů je ve Flushing Meadows o kolo zpět, navíc pokračuje bez dvojnásobného vítěze French Open Španěla Bruguery (3.), který prohrál ve 4. kole s Rakušanem Musterem (13.) 4: 6, 6: 7 (4), 4: 6.
Position	Tokenization	UPOS	Head	Deprel
1	Dvouhra	NOUN	3	nsubj
2	mužů	NOUN	1	nmod
3	je	VERB	0	root
4	ve	ADP	5	case
5	Flushing	ADJ	3	obl
6	Meadows	PROPN	5	flat:foreign
7	o	ADP	8	case
8	kolo	NOUN	9	obl
9	zpět	ADV	3	advmod
10	,	PUNCT	12	punct
11	navíc	ADV	12	advmod
12	pokračuje	VERB	3	conj
13	bez	ADP	15	case
14	dvojnásobného	ADJ	15	amod
15	vítěze	NOUN	12	obl
16	French	ADJ	15	amod
17	Open	ADJ	16	flat:foreign
18	Španěla	PROPN	15	flat
19	Bruguery	PROPN	15	flat
20	(	PUNCT	21	punct
21	3	NUM	15	nummod
22	.	PUNCT	21	punct
23	)	PUNCT	21	punct
24	,	PUNCT	26	punct
25	který	DET	26	nsubj
26	prohrál	VERB	15	acl:relcl
27	ve	ADP	30	case
28	4	NUM	30	nummod
29	.	PUNCT	28	punct
30	kole	NOUN	26	obl
31	s	ADP	32	case
32	Rakušanem	PROPN	26	obl:arg
33	Musterem	PROPN	32	flat
34	(	PUNCT	35	punct
35	13	NUM	32	nummod
36	.	PUNCT	35	punct
37	)	PUNCT	35	punct
38	4	NUM	26	obl
39	:	PUNCT	40	punct
40	6	NUM	38	conj
41	,	PUNCT	42	punct
42	6	NUM	38	conj
43	:	PUNCT	44	punct
44	7	NUM	42	conj
45	(	PUNCT	46	punct
46	4	NUM	42	conj
47	)	PUNCT	46	punct
48	,	PUNCT	49	punct
49	4	NUM	38	conj
50	:	PUNCT	51	punct
51	6	NUM	49	conj
52	.	PUNCT	3	punct