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 tokenized text:
Sin embargo, Schuttler logró finalmente la victoria y con un resultado de 6-4, 4-6 y 6-3 consiguió el pasaporte para la segunda ronda, en la que se enfrentará a su compatriota Tommy Haas, sexto cabeza de serie del torneo de Stuttgart, dotado con un millón de dólares en premios.
Postion	Tokenization
1	Sin
2	embargo
3	,
4	Schuttler
5	logró
6	finalmente
7	la
8	victoria
9	y
10	con
11	un
12	resultado
13	de
14	6-4
15	,
16	4-6
17	y
18	6-3
19	consiguió
20	el
21	pasaporte
22	para
23	la
24	segunda
25	ronda
26	,
27	en
28	la
29	que
30	se
31	enfrentará
32	a
33	su
34	compatriota
35	Tommy
36	Haas
37	,
38	sexto
39	cabeza
40	de
41	serie
42	del
43	torneo
44	de
45	Stuttgart
46	,
47	dotado
48	con
49	un
50	millón
51	de
52	dólares
53	en
54	premios
55	.
Position	Tokenization	UPOS	Head	Deprel
1	Sin	ADP	5	advmod
2	embargo	NOUN	1	fixed
3	,	PUNCT	1	punct
4	Schuttler	PROPN	5	nsubj
5	logró	VERB	0	root
6	finalmente	ADV	5	advmod
7	la	DET	8	det
8	victoria	NOUN	5	obj
9	y	CCONJ	19	cc
10	con	ADP	12	case
11	un	DET	12	det
12	resultado	NOUN	19	obl
13	de	ADP	14	case
14	6-4	NUM	12	nummod
15	,	PUNCT	16	punct
16	4-6	NUM	14	conj
17	y	CCONJ	18	cc
18	6-3	NUM	14	conj
19	consiguió	VERB	5	conj
20	el	DET	21	det
21	pasaporte	NOUN	19	obj
22	para	ADP	25	case
23	la	DET	25	det
24	segunda	ADJ	25	amod
25	ronda	NOUN	21	nmod
26	,	PUNCT	31	punct
27	en	ADP	29	case
28	la	DET	29	det
29	que	PRON	31	obl
30	se	PRON	31	expl:pv
31	enfrentará	VERB	25	acl
32	a	ADP	34	case
33	su	DET	34	det
34	compatriota	NOUN	31	obj
35	Tommy	PROPN	34	appos
36	Haas	PROPN	35	flat
37	,	PUNCT	39	punct
38	sexto	ADJ	39	amod
39	cabeza	NOUN	34	appos
40	de	ADP	41	case
41	serie	NOUN	39	compound
42	del	ADP	43	case
43	torneo	NOUN	39	nmod
44	de	ADP	45	case
45	Stuttgart	PROPN	43	nmod
46	,	PUNCT	47	punct
47	dotado	ADJ	43	amod
48	con	ADP	50	case
49	un	DET	50	det
50	millón	NOUN	47	obj
51	de	ADP	52	case
52	dólares	NOUN	50	nmod
53	en	ADP	54	case
54	premios	NOUN	50	nmod
55	.	PUNCT	5	punct