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:
Entre los diez titulares que iniciaron el partido sólo había un jugador nacido en España, Romero (Caja San Fernando), y el campeón es el equipo que más partido saca a la posibilidad de fichar comunitarios.
Postion	Tokenization
1	Entre
2	los
3	diez
4	titulares
5	que
6	iniciaron
7	el
8	partido
9	sólo
10	había
11	un
12	jugador
13	nacido
14	en
15	España
16	,
17	Romero
18	(
19	Caja
20	San
21	Fernando
22	)
23	,
24	y
25	el
26	campeón
27	es
28	el
29	equipo
30	que
31	más
32	partido
33	saca
34	a
35	la
36	posibilidad
37	de
38	fichar
39	comunitarios
40	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	4	case
2	los	DET	4	det
3	diez	NUM	2	nummod
4	titulares	NOUN	10	obl
5	que	PRON	6	nsubj
6	iniciaron	VERB	4	acl
7	el	DET	8	det
8	partido	NOUN	6	obj
9	sólo	ADV	10	advmod
10	había	AUX	0	root
11	un	DET	12	det
12	jugador	NOUN	10	obj
13	nacido	ADJ	12	amod
14	en	ADP	15	case
15	España	PROPN	13	obl
16	,	PUNCT	17	punct
17	Romero	PROPN	12	appos
18	(	PUNCT	19	punct
19	Caja	PROPN	17	flat
20	San	PROPN	19	flat
21	Fernando	PROPN	19	flat
22	)	PUNCT	19	punct
23	,	PUNCT	17	punct
24	y	CCONJ	29	cc
25	el	DET	26	det
26	campeón	NOUN	29	nsubj
27	es	AUX	29	cop
28	el	DET	29	det
29	equipo	NOUN	10	conj
30	que	PRON	33	nsubj
31	más	ADV	32	advmod
32	partido	NOUN	33	obj
33	saca	VERB	29	acl
34	a	ADP	36	case
35	la	DET	36	det
36	posibilidad	NOUN	33	obj
37	de	ADP	38	mark
38	fichar	VERB	36	acl
39	comunitarios	ADJ	38	obj
40	.	PUNCT	10	punct