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 empresario catalán Joan Castells, precandidato en las elecciones del FC Barcelona, sostiene que la división que existe actualmente en la masa social del club podría repararse si sale elegido él presidente, pero está convencido de que la cohesión no será posible si los vencedores en las urnas son sus oponentes Joan Gaspart o Lluís Bassat.
Postion	Tokenization
1	El
2	empresario
3	catalán
4	Joan
5	Castells
6	,
7	precandidato
8	en
9	las
10	elecciones
11	del
12	FC
13	Barcelona
14	,
15	sostiene
16	que
17	la
18	división
19	que
20	existe
21	actualmente
22	en
23	la
24	masa
25	social
26	del
27	club
28	podría
29	repararse
30	reparar
31	se
32	si
33	sale
34	elegido
35	él
36	presidente
37	,
38	pero
39	está
40	convencido
41	de
42	que
43	la
44	cohesión
45	no
46	será
47	posible
48	si
49	los
50	vencedores
51	en
52	las
53	urnas
54	son
55	sus
56	oponentes
57	Joan
58	Gaspart
59	o
60	Lluís
61	Bassat
62	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	empresario	NOUN	15	nsubj
3	catalán	ADJ	2	amod
4	Joan	PROPN	2	appos
5	Castells	PROPN	4	flat
6	,	PUNCT	7	punct
7	precandidato	NOUN	2	appos
8	en	ADP	10	case
9	las	DET	10	det
10	elecciones	NOUN	7	nmod
11	del	ADP	12	case
12	FC	PROPN	10	nmod
13	Barcelona	PROPN	12	flat
14	,	PUNCT	7	punct
15	sostiene	VERB	0	root
16	que	SCONJ	29	mark
17	la	DET	18	det
18	división	NOUN	29	nsubj
19	que	PRON	20	nsubj
20	existe	VERB	18	acl
21	actualmente	ADV	20	advmod
22	en	ADP	24	case
23	la	DET	24	det
24	masa	NOUN	20	obl
25	social	ADJ	24	amod
26	del	ADP	27	case
27	club	NOUN	24	nmod
28	podría	AUX	29	aux
29	repararse	_	None	_
30	reparar	VERB	15	xcomp
31	se	PRON	29	expl:pass
32	si	SCONJ	32	mark
33	sale	VERB	29	advcl
34	elegido	ADJ	32	obj
35	él	PRON	32	nsubj
36	presidente	NOUN	32	obj
37	,	PUNCT	39	punct
38	pero	CCONJ	39	cc
39	está	AUX	39	cop
40	convencido	ADJ	15	conj
41	de	ADP	46	mark
42	que	SCONJ	46	mark
43	la	DET	43	det
44	cohesión	NOUN	46	nsubj
45	no	ADV	46	advmod
46	será	AUX	46	cop
47	posible	ADJ	39	ccomp
48	si	SCONJ	55	mark
49	los	DET	49	det
50	vencedores	NOUN	55	nsubj
51	en	ADP	52	case
52	las	DET	52	det
53	urnas	NOUN	49	nmod
54	son	AUX	55	cop
55	sus	DET	55	det
56	oponentes	NOUN	46	advcl
57	Joan	PROPN	55	appos
58	Gaspart	PROPN	56	flat
59	o	CCONJ	59	cc
60	Lluís	PROPN	56	conj
61	Bassat	PROPN	59	flat
62	.	PUNCT	15	punct