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:
Pete Sampras volvió a dejarse un set en su camino pero alcanzó los cuartos al derrotar al checo Slava Dosedel por 6-1, 2-6 3-6, y 6-1.
Postion	Tokenization
1	Pete
2	Sampras
3	volvió
4	a
5	dejarse
6	dejar
7	se
8	un
9	set
10	en
11	su
12	camino
13	pero
14	alcanzó
15	los
16	cuartos
17	al
18	derrotar
19	al
20	checo
21	Slava
22	Dosedel
23	por
24	6-1
25	,
26	2-6
27	3-6
28	,
29	y
30	6-1
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Pete	PROPN	3	nsubj
2	Sampras	PROPN	1	flat
3	volvió	VERB	0	root
4	a	ADP	5	mark
5	dejarse	_	None	_
6	dejar	VERB	3	xcomp
7	se	PRON	3	expl:pv
8	un	DET	8	det
9	set	NOUN	3	obj
10	en	ADP	11	case
11	su	DET	11	det
12	camino	NOUN	3	obl
13	pero	CCONJ	13	cc
14	alcanzó	VERB	5	conj
15	los	DET	15	det
16	cuartos	NOUN	13	obj
17	al	ADP	17	mark
18	derrotar	VERB	13	advcl
19	al	ADP	19	case
20	checo	NOUN	17	obj
21	Slava	PROPN	19	appos
22	Dosedel	PROPN	20	flat
23	por	ADP	23	case
24	6-1	NUM	17	obl
25	,	PUNCT	25	punct
26	2-6	NUM	23	conj
27	3-6	NUM	23	conj
28	,	PUNCT	29	punct
29	y	CCONJ	29	cc
30	6-1	NUM	23	conj
31	.	PUNCT	3	punct