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:
La vicepresidenta de la Comisión Europea se refirió además a la visita que a primeras horas de esta tarde realizará al parque eólico de Guerinda, donde hay instalados 155 aerogeneradores con capacidad para producir el 8 por ciento de la energía que consume la comunidad foral.
Postion	Tokenization
1	La
2	vicepresidenta
3	de
4	la
5	Comisión
6	Europea
7	se
8	refirió
9	además
10	a
11	la
12	visita
13	que
14	a
15	primeras
16	horas
17	de
18	esta
19	tarde
20	realizará
21	al
22	parque
23	eólico
24	de
25	Guerinda
26	,
27	donde
28	hay
29	instalados
30	155
31	aerogeneradores
32	con
33	capacidad
34	para
35	producir
36	el
37	8
38	por
39	ciento
40	de
41	la
42	energía
43	que
44	consume
45	la
46	comunidad
47	foral
48	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	vicepresidenta	NOUN	8	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Comisión	PROPN	2	nmod
6	Europea	PROPN	5	flat
7	se	PRON	8	expl:pv
8	refirió	VERB	0	root
9	además	ADV	8	advmod
10	a	ADP	12	case
11	la	DET	12	det
12	visita	NOUN	8	obj
13	que	PRON	12	nmod
14	a	ADP	16	case
15	primeras	ADJ	16	amod
16	horas	NOUN	13	obl
17	de	ADP	19	case
18	esta	DET	19	det
19	tarde	NOUN	16	nmod
20	realizará	VERB	13	case
21	al	ADP	22	case
22	parque	NOUN	13	obl
23	eólico	ADJ	22	amod
24	de	ADP	25	case
25	Guerinda	PROPN	22	nmod
26	,	PUNCT	28	punct
27	donde	PRON	28	obl
28	hay	AUX	22	acl
29	instalados	ADJ	28	obj
30	155	NUM	31	nummod
31	aerogeneradores	NOUN	28	obj
32	con	ADP	33	case
33	capacidad	NOUN	31	nmod
34	para	ADP	35	mark
35	producir	VERB	33	acl
36	el	DET	37	det
37	8	NUM	35	obj
38	por	ADP	39	case
39	ciento	NUM	37	compound
40	de	ADP	42	case
41	la	DET	42	det
42	energía	NOUN	37	nmod
43	que	PRON	44	obj
44	consume	VERB	42	acl
45	la	DET	46	det
46	comunidad	NOUN	44	nsubj
47	foral	ADJ	46	amod
48	.	PUNCT	8	punct