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:
Coincide, además, que Oliveri, y el portavoz de los renovadores, Patxi Ormazabal, son dos de los tres consejeros que EA tiene en el Ejecutivo de Vitoria.
Postion	Tokenization
1	Coincide
2	,
3	además
4	,
5	que
6	Oliveri
7	,
8	y
9	el
10	portavoz
11	de
12	los
13	renovadores
14	,
15	Patxi
16	Ormazabal
17	,
18	son
19	dos
20	de
21	los
22	tres
23	consejeros
24	que
25	EA
26	tiene
27	en
28	el
29	Ejecutivo
30	de
31	Vitoria
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Coincide	VERB	0	root
2	,	PUNCT	3	punct
3	además	ADV	1	advmod
4	,	PUNCT	3	punct
5	que	SCONJ	19	mark
6	Oliveri	PROPN	19	nsubj
7	,	PUNCT	10	punct
8	y	CCONJ	10	cc
9	el	DET	10	det
10	portavoz	NOUN	6	conj
11	de	ADP	13	case
12	los	DET	13	det
13	renovadores	ADJ	10	amod
14	,	PUNCT	15	punct
15	Patxi	PROPN	10	appos
16	Ormazabal	PROPN	15	flat
17	,	PUNCT	15	punct
18	son	AUX	19	cop
19	dos	NUM	1	csubj
20	de	ADP	23	case
21	los	DET	23	det
22	tres	NUM	21	nummod
23	consejeros	NOUN	19	nmod
24	que	PRON	26	obj
25	EA	PROPN	26	nsubj
26	tiene	VERB	23	acl
27	en	ADP	29	case
28	el	DET	29	det
29	Ejecutivo	PROPN	26	obl
30	de	ADP	31	case
31	Vitoria	PROPN	29	flat
32	.	PUNCT	1	punct