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 número 12 de la lista electoral, a quien correspondería entrar ahora, es Josep Gascón, un militante de Unió salpicado por el caso de las irregularidades de los fondos de Treball.
Postion	Tokenization
1	El
2	número
3	12
4	de
5	la
6	lista
7	electoral
8	,
9	a
10	quien
11	correspondería
12	entrar
13	ahora
14	,
15	es
16	Josep
17	Gascón
18	,
19	un
20	militante
21	de
22	Unió
23	salpicado
24	por
25	el
26	caso
27	de
28	las
29	irregularidades
30	de
31	los
32	fondos
33	de
34	Treball
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	número	NOUN	16	nsubj
3	12	NUM	2	appos
4	de	ADP	6	case
5	la	DET	6	det
6	lista	NOUN	2	nmod
7	electoral	ADJ	6	amod
8	,	PUNCT	11	punct
9	a	ADP	10	case
10	quien	PRON	11	obj
11	correspondería	VERB	2	acl
12	entrar	VERB	11	csubj
13	ahora	ADV	12	advmod
14	,	PUNCT	11	punct
15	es	AUX	16	cop
16	Josep	PROPN	0	root
17	Gascón	PROPN	16	flat
18	,	PUNCT	20	punct
19	un	DET	20	det
20	militante	NOUN	16	appos
21	de	ADP	22	case
22	Unió	PROPN	20	nmod
23	salpicado	ADJ	20	amod
24	por	ADP	26	case
25	el	DET	26	det
26	caso	NOUN	23	obl
27	de	ADP	29	case
28	las	DET	29	det
29	irregularidades	NOUN	26	nmod
30	de	ADP	32	case
31	los	DET	32	det
32	fondos	NOUN	29	nmod
33	de	ADP	34	case
34	Treball	PROPN	32	nmod
35	.	PUNCT	16	punct