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:
EDF, que no quiso revelar cuánto pagó por su participación mayoritaria en EAA, intervendrá como asistente en la construcción de Altamira 2 y, posteriormente, se encargará de explotarla como principal accionista.
Postion	Tokenization
1	EDF
2	,
3	que
4	no
5	quiso
6	revelar
7	cuánto
8	pagó
9	por
10	su
11	participación
12	mayoritaria
13	en
14	EAA
15	,
16	intervendrá
17	como
18	asistente
19	en
20	la
21	construcción
22	de
23	Altamira
24	2
25	y
26	,
27	posteriormente
28	,
29	se
30	encargará
31	de
32	explotarla
33	explotar
34	la
35	como
36	principal
37	accionista
38	.
Position	Tokenization	UPOS	Head	Deprel
1	EDF	PROPN	16	nsubj
2	,	PUNCT	5	punct
3	que	PRON	5	nsubj
4	no	ADV	5	advmod
5	quiso	VERB	1	acl
6	revelar	VERB	5	xcomp
7	cuánto	PRON	8	obj
8	pagó	VERB	6	ccomp
9	por	ADP	11	case
10	su	DET	11	det
11	participación	NOUN	8	obl
12	mayoritaria	ADJ	11	amod
13	en	ADP	14	case
14	EAA	PROPN	11	nmod
15	,	PUNCT	5	punct
16	intervendrá	VERB	0	root
17	como	SCONJ	18	mark
18	asistente	NOUN	16	obl
19	en	ADP	21	case
20	la	DET	21	det
21	construcción	NOUN	16	obj
22	de	ADP	23	case
23	Altamira	PROPN	21	nmod
24	2	NUM	23	nummod
25	y	CCONJ	30	cc
26	,	PUNCT	27	punct
27	posteriormente	ADV	30	advmod
28	,	PUNCT	27	punct
29	se	PRON	30	expl:pv
30	encargará	VERB	16	conj
31	de	ADP	32	mark
32	explotarla	_	None	_
33	explotar	VERB	30	xcomp
34	la	PRON	32	obj
35	como	SCONJ	36	mark
36	principal	ADJ	36	amod
37	accionista	ADJ	32	advmod
38	.	PUNCT	16	punct