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:
El presidente de la Comisión Europea, Romano Prodi, también esquivó ayer la pregunta, al afirmar que no había que "extrapolar" a otros países lo que había sucedido en Dinamarca.
Postion	Tokenization
1	El
2	presidente
3	de
4	la
5	Comisión
6	Europea
7	,
8	Romano
9	Prodi
10	,
11	también
12	esquivó
13	ayer
14	la
15	pregunta
16	,
17	al
18	afirmar
19	que
20	no
21	había
22	que
23	"
24	extrapolar
25	"
26	a
27	otros
28	países
29	lo
30	que
31	había
32	sucedido
33	en
34	Dinamarca
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	12	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Comisión	PROPN	2	nmod
6	Europea	PROPN	5	flat
7	,	PUNCT	8	punct
8	Romano	PROPN	2	appos
9	Prodi	PROPN	8	flat
10	,	PUNCT	8	punct
11	también	ADV	12	advmod
12	esquivó	VERB	0	root
13	ayer	ADV	12	advmod
14	la	DET	15	det
15	pregunta	NOUN	12	obj
16	,	PUNCT	18	punct
17	al	ADP	18	mark
18	afirmar	VERB	12	advcl
19	que	SCONJ	21	mark
20	no	ADV	21	advmod
21	había	AUX	18	ccomp
22	que	SCONJ	24	cc
23	"	PUNCT	24	punct
24	extrapolar	VERB	21	xcomp
25	"	PUNCT	24	punct
26	a	ADP	28	case
27	otros	DET	28	det
28	países	NOUN	24	iobj
29	lo	PRON	32	det
30	que	PRON	32	nsubj
31	había	AUX	32	aux
32	sucedido	VERB	24	ccomp
33	en	ADP	34	case
34	Dinamarca	PROPN	32	obl
35	.	PUNCT	12	punct