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:
Otro dato a tener en cuenta es que el entonces presidente y candidato a la reelección, José Luís Núñez, reunió 14.331 firmas, con la ventaja de tener a su favor el acceso al censo de socios del club, pero esa cifra fue casi la mitad de las 27.152 firmas que presentó el propio Núñez en las anteriores elecciones celebradas contra Sixte Cambra en 1989.
Postion	Tokenization
1	Otro
2	dato
3	a
4	tener
5	en
6	cuenta
7	es
8	que
9	el
10	entonces
11	presidente
12	y
13	candidato
14	a
15	la
16	reelección
17	,
18	José
19	Luís
20	Núñez
21	,
22	reunió
23	14.331
24	firmas
25	,
26	con
27	la
28	ventaja
29	de
30	tener
31	a
32	su
33	favor
34	el
35	acceso
36	al
37	censo
38	de
39	socios
40	del
41	club
42	,
43	pero
44	esa
45	cifra
46	fue
47	casi
48	la
49	mitad
50	de
51	las
52	27.152
53	firmas
54	que
55	presentó
56	el
57	propio
58	Núñez
59	en
60	las
61	anteriores
62	elecciones
63	celebradas
64	contra
65	Sixte
66	Cambra
67	en
68	1989
69	.
Position	Tokenization	UPOS	Head	Deprel
1	Otro	DET	2	det
2	dato	NOUN	7	nsubj
3	a	ADP	4	mark
4	tener	VERB	2	acl
5	en	ADP	6	case
6	cuenta	NOUN	4	compound
7	es	AUX	0	root
8	que	SCONJ	22	mark
9	el	DET	11	det
10	entonces	ADV	11	advmod
11	presidente	NOUN	22	nsubj
12	y	CCONJ	13	cc
13	candidato	NOUN	11	conj
14	a	ADP	16	case
15	la	DET	16	det
16	reelección	NOUN	13	nmod
17	,	PUNCT	18	punct
18	José	PROPN	11	appos
19	Luís	PROPN	18	flat
20	Núñez	PROPN	18	flat
21	,	PUNCT	18	punct
22	reunió	VERB	7	ccomp
23	14.331	NUM	24	nummod
24	firmas	NOUN	22	obj
25	,	PUNCT	28	punct
26	con	ADP	28	case
27	la	DET	28	det
28	ventaja	NOUN	22	obl
29	de	ADP	30	mark
30	tener	VERB	28	acl
31	a	ADP	33	case
32	su	DET	33	det
33	favor	NOUN	30	obl
34	el	DET	35	det
35	acceso	NOUN	30	obj
36	al	ADP	37	case
37	censo	NOUN	35	nmod
38	de	ADP	39	case
39	socios	NOUN	37	nmod
40	del	ADP	41	case
41	club	NOUN	39	nmod
42	,	PUNCT	49	punct
43	pero	CCONJ	49	cc
44	esa	DET	45	det
45	cifra	NOUN	49	nsubj
46	fue	AUX	49	cop
47	casi	ADV	49	advmod
48	la	DET	49	det
49	mitad	NOUN	7	conj
50	de	ADP	53	case
51	las	DET	52	det
52	27.152	NUM	53	nummod
53	firmas	NOUN	49	nmod
54	que	PRON	55	obj
55	presentó	VERB	53	acl
56	el	DET	58	det
57	propio	ADJ	58	amod
58	Núñez	PROPN	55	nsubj
59	en	ADP	62	case
60	las	DET	62	det
61	anteriores	ADJ	62	amod
62	elecciones	NOUN	55	obl
63	celebradas	ADJ	62	amod
64	contra	ADP	65	case
65	Sixte	PROPN	63	obl
66	Cambra	PROPN	65	flat
67	en	ADP	68	case
68	1989	NOUN	63	obl
69	.	PUNCT	7	punct