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 primero, según las citadas fuentes, sólo había podido reunir unas 400 firmas, pese a que disponía a su favor de la base de datos de simpatizantes del grupo de opinión barcelonista Forum Samitier, mientras que el segundo, apenas contaba con el aval de algunas decenas de socios.
Postion	Tokenization
1	El
2	primero
3	,
4	según
5	las
6	citadas
7	fuentes
8	,
9	sólo
10	había
11	podido
12	reunir
13	unas
14	400
15	firmas
16	,
17	pese
18	a
19	que
20	disponía
21	a
22	su
23	favor
24	de
25	la
26	base
27	de
28	datos
29	de
30	simpatizantes
31	del
32	grupo
33	de
34	opinión
35	barcelonista
36	Forum
37	Samitier
38	,
39	mientras
40	que
41	el
42	segundo
43	,
44	apenas
45	contaba
46	con
47	el
48	aval
49	de
50	algunas
51	decenas
52	de
53	socios
54	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	primero	ADJ	12	nsubj
3	,	PUNCT	7	punct
4	según	ADP	7	case
5	las	DET	7	det
6	citadas	ADJ	7	amod
7	fuentes	NOUN	12	obl
8	,	PUNCT	7	punct
9	sólo	ADV	12	advmod
10	había	AUX	12	aux
11	podido	AUX	12	aux
12	reunir	VERB	39	parataxis
13	unas	PRON	14	nmod
14	400	NUM	15	nummod
15	firmas	NOUN	12	obj
16	,	PUNCT	20	punct
17	pese	NOUN	20	mark
18	a	ADP	17	fixed
19	que	SCONJ	17	fixed
20	disponía	VERB	12	advcl
21	a	ADP	23	case
22	su	DET	23	det
23	favor	NOUN	20	obl
24	de	ADP	26	case
25	la	DET	26	det
26	base	NOUN	20	obj
27	de	ADP	28	case
28	datos	NOUN	26	nmod
29	de	ADP	30	case
30	simpatizantes	NOUN	26	nmod
31	del	ADP	32	case
32	grupo	NOUN	30	nmod
33	de	ADP	34	case
34	opinión	NOUN	32	nmod
35	barcelonista	ADJ	34	amod
36	Forum	PROPN	32	appos
37	Samitier	PROPN	36	flat
38	,	PUNCT	39	punct
39	mientras	CCONJ	0	root
40	que	SCONJ	39	fixed
41	el	DET	42	det
42	segundo	ADJ	45	nsubj
43	,	PUNCT	42	punct
44	apenas	ADV	45	advmod
45	contaba	VERB	39	parataxis
46	con	ADP	48	case
47	el	DET	48	det
48	aval	NOUN	45	obj
49	de	ADP	51	case
50	algunas	DET	51	det
51	decenas	NOUN	48	nmod
52	de	ADP	53	case
53	socios	NOUN	51	nmod
54	.	PUNCT	39	punct