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:
He sido socio del FC Barcelona durante muchos años, pero no pude seguir con la política del señor Núñez y me di de baja después de la triste final de Sevilla.
Postion	Tokenization
1	He
2	sido
3	socio
4	del
5	FC
6	Barcelona
7	durante
8	muchos
9	años
10	,
11	pero
12	no
13	pude
14	seguir
15	con
16	la
17	política
18	del
19	señor
20	Núñez
21	y
22	me
23	di
24	de
25	baja
26	después
27	de
28	la
29	triste
30	final
31	de
32	Sevilla
33	.
Position	Tokenization	UPOS	Head	Deprel
1	He	AUX	3	aux
2	sido	AUX	3	cop
3	socio	NOUN	0	root
4	del	ADP	5	case
5	FC	PROPN	3	nmod
6	Barcelona	PROPN	5	flat
7	durante	ADP	9	case
8	muchos	DET	9	det
9	años	NOUN	3	obl
10	,	PUNCT	14	punct
11	pero	CCONJ	14	cc
12	no	ADV	14	advmod
13	pude	AUX	14	aux
14	seguir	VERB	3	conj
15	con	ADP	17	case
16	la	DET	17	det
17	política	NOUN	14	obj
18	del	ADP	19	case
19	señor	NOUN	17	nmod
20	Núñez	PROPN	19	appos
21	y	CCONJ	23	cc
22	me	PRON	23	expl:pv
23	di	VERB	14	conj
24	de	ADP	23	advmod
25	baja	NOUN	24	fixed
26	después	ADV	23	advmod
27	de	ADP	30	case
28	la	DET	30	det
29	triste	ADJ	30	amod
30	final	NOUN	26	obl
31	de	ADP	32	case
32	Sevilla	PROPN	30	nmod
33	.	PUNCT	3	punct