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:
Comentó que el interés de Endesa es doble: "nosotros le permitimos entrar en el mercado francés y desarrollar una estrategia europea y le damos todo un saber hacer en materia de centrales térmicas".
Postion	Tokenization
1	Comentó
2	que
3	el
4	interés
5	de
6	Endesa
7	es
8	doble
9	:
10	"
11	nosotros
12	le
13	permitimos
14	entrar
15	en
16	el
17	mercado
18	francés
19	y
20	desarrollar
21	una
22	estrategia
23	europea
24	y
25	le
26	damos
27	todo
28	un
29	saber
30	hacer
31	en
32	materia
33	de
34	centrales
35	térmicas
36	"
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Comentó	VERB	0	root
2	que	SCONJ	8	mark
3	el	DET	4	det
4	interés	NOUN	8	nsubj
5	de	ADP	6	case
6	Endesa	PROPN	4	nmod
7	es	AUX	8	cop
8	doble	ADJ	1	ccomp
9	:	PUNCT	13	punct
10	"	PUNCT	13	punct
11	nosotros	PRON	13	nsubj
12	le	PRON	13	iobj
13	permitimos	VERB	8	advcl
14	entrar	VERB	13	xcomp
15	en	ADP	17	case
16	el	DET	17	det
17	mercado	NOUN	14	obl
18	francés	ADJ	17	amod
19	y	CCONJ	20	cc
20	desarrollar	VERB	14	conj
21	una	DET	22	det
22	estrategia	NOUN	20	obj
23	europea	ADJ	22	amod
24	y	CCONJ	26	cc
25	le	PRON	26	obj
26	damos	VERB	13	conj
27	todo	DET	29	det
28	un	DET	27	det
29	saber	NOUN	26	obj
30	hacer	NOUN	29	compound
31	en	ADP	34	case
32	materia	NOUN	31	fixed
33	de	ADP	31	fixed
34	centrales	NOUN	26	obl
35	térmicas	ADJ	34	amod
36	"	PUNCT	13	punct
37	.	PUNCT	1	punct