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 portavoz económico de IU, Gaspar Llamazares, se mostró partidario de aplicar una rebaja selectiva de los impuestos a los sectores más desfavorecidos, como el pesquero y el agrario, pero no de forma generalizada.
Postion	Tokenization
1	El
2	portavoz
3	económico
4	de
5	IU
6	,
7	Gaspar
8	Llamazares
9	,
10	se
11	mostró
12	partidario
13	de
14	aplicar
15	una
16	rebaja
17	selectiva
18	de
19	los
20	impuestos
21	a
22	los
23	sectores
24	más
25	desfavorecidos
26	,
27	como
28	el
29	pesquero
30	y
31	el
32	agrario
33	,
34	pero
35	no
36	de
37	forma
38	generalizada
39	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	portavoz	NOUN	11	nsubj
3	económico	ADJ	2	amod
4	de	ADP	5	case
5	IU	PROPN	2	nmod
6	,	PUNCT	7	punct
7	Gaspar	PROPN	2	appos
8	Llamazares	PROPN	7	flat
9	,	PUNCT	7	punct
10	se	PRON	11	expl:pv
11	mostró	VERB	0	root
12	partidario	ADJ	11	obj
13	de	ADP	14	mark
14	aplicar	VERB	12	acl
15	una	DET	16	det
16	rebaja	NOUN	14	obj
17	selectiva	ADJ	16	amod
18	de	ADP	20	case
19	los	DET	20	det
20	impuestos	NOUN	16	nmod
21	a	ADP	23	case
22	los	DET	23	det
23	sectores	NOUN	14	obj
24	más	ADV	25	advmod
25	desfavorecidos	ADJ	23	amod
26	,	PUNCT	29	punct
27	como	SCONJ	29	mark
28	el	DET	29	det
29	pesquero	ADJ	23	amod
30	y	CCONJ	32	cc
31	el	DET	32	det
32	agrario	ADJ	29	conj
33	,	PUNCT	35	punct
34	pero	CCONJ	35	cc
35	no	ADV	14	conj
36	de	ADP	35	case
37	forma	NOUN	35	nmod
38	generalizada	ADJ	37	amod
39	.	PUNCT	11	punct