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:
IU se convirtió en la gran derrotada al perder 3 de sus representantes en el Parlamento y la mitad de los votos al pasar de 547.000 votos a apenas 279.000, mientras que el GIL aparece como cuarta fuerza más votada, pese a no obtener escaños con algo más de 32.000 sufragios.
Postion	Tokenization
1	IU
2	se
3	convirtió
4	en
5	la
6	gran
7	derrotada
8	al
9	perder
10	3
11	de
12	sus
13	representantes
14	en
15	el
16	Parlamento
17	y
18	la
19	mitad
20	de
21	los
22	votos
23	al
24	pasar
25	de
26	547.000
27	votos
28	a
29	apenas
30	279.000,
31	mientras
32	que
33	el
34	GIL
35	aparece
36	como
37	cuarta
38	fuerza
39	más
40	votada
41	,
42	pese
43	a
44	no
45	obtener
46	escaños
47	con
48	algo
49	más
50	de
51	32.000
52	sufragios
53	.
Position	Tokenization	UPOS	Head	Deprel
1	IU	PROPN	3	nsubj
2	se	PRON	3	expl:pv
3	convirtió	VERB	31	parataxis
4	en	ADP	7	case
5	la	DET	7	det
6	gran	ADJ	7	amod
7	derrotada	ADJ	3	obj
8	al	ADP	9	mark
9	perder	VERB	3	advcl
10	3	NUM	9	obj
11	de	ADP	13	case
12	sus	DET	13	det
13	representantes	NOUN	10	nmod
14	en	ADP	16	case
15	el	DET	16	det
16	Parlamento	PROPN	13	nmod
17	y	CCONJ	19	cc
18	la	DET	19	det
19	mitad	NOUN	10	conj
20	de	ADP	22	case
21	los	DET	22	det
22	votos	NOUN	19	nmod
23	al	ADP	24	mark
24	pasar	VERB	9	advcl
25	de	ADP	27	case
26	547.000	NUM	27	nummod
27	votos	NOUN	24	obl
28	a	ADP	30	case
29	apenas	ADV	30	advmod
30	279.000,	NUM	24	obl
31	mientras	CCONJ	0	root
32	que	SCONJ	31	fixed
33	el	DET	34	det
34	GIL	PROPN	35	nsubj
35	aparece	VERB	31	parataxis
36	como	SCONJ	38	mark
37	cuarta	ADJ	38	amod
38	fuerza	NOUN	35	obl
39	más	ADV	40	advmod
40	votada	ADJ	38	amod
41	,	PUNCT	45	punct
42	pese	NOUN	45	mark
43	a	ADP	42	fixed
44	no	ADV	45	advmod
45	obtener	VERB	35	advcl
46	escaños	NOUN	45	obj
47	con	ADP	52	case
48	algo	ADV	52	advmod
49	más	ADV	48	advmod
50	de	ADP	48	case
51	32.000	NUM	48	nummod
52	sufragios	NOUN	35	obl
53	.	PUNCT	31	punct