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:
Guti y Sanchis lo intentaron, pero su tendencia natural es irse al centro porque no están cómodos pegados a la cal ", finalizó Michel Salgado.
Postion	Tokenization
1	Guti
2	y
3	Sanchis
4	lo
5	intentaron
6	,
7	pero
8	su
9	tendencia
10	natural
11	es
12	irse
13	ir
14	se
15	al
16	centro
17	porque
18	no
19	están
20	cómodos
21	pegados
22	a
23	la
24	cal
25	"
26	,
27	finalizó
28	Michel
29	Salgado
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Guti	PROPN	5	nsubj
2	y	CCONJ	3	cc
3	Sanchis	PROPN	1	conj
4	lo	PRON	5	obj
5	intentaron	VERB	26	ccomp
6	,	PUNCT	11	punct
7	pero	CCONJ	11	cc
8	su	DET	9	det
9	tendencia	NOUN	11	nsubj
10	natural	ADJ	9	amod
11	es	AUX	5	conj
12	irse	_	None	_
13	ir	VERB	11	ccomp
14	se	PRON	12	expl:pv
15	al	ADP	15	case
16	centro	NOUN	12	obl
17	porque	SCONJ	19	mark
18	no	ADV	19	advmod
19	están	AUX	19	cop
20	cómodos	ADJ	11	advcl
21	pegados	ADJ	19	obj
22	a	ADP	23	case
23	la	DET	23	det
24	cal	NOUN	20	obl
25	"	PUNCT	5	punct
26	,	PUNCT	5	punct
27	finalizó	VERB	0	root
28	Michel	PROPN	26	nsubj
29	Salgado	PROPN	27	flat
30	.	PUNCT	26	punct