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 las preferencias del entrenador antoniano para cruzarse en la próxima ronda europea figuraba el Kolding danés aunque, tras conocer el resultado del sorteo, Equísoain aseguró a EFE que "ahora todos los equipos son peligrosos y seguro que el Liubliana también lo es, pero lo mejor de todo es que el encuentro de vuelta se disputará en Pamplona".
Postion	Tokenization
1	Entre
2	las
3	preferencias
4	del
5	entrenador
6	antoniano
7	para
8	cruzarse
9	cruzar
10	se
11	en
12	la
13	próxima
14	ronda
15	europea
16	figuraba
17	el
18	Kolding
19	danés
20	aunque
21	,
22	tras
23	conocer
24	el
25	resultado
26	del
27	sorteo
28	,
29	Equísoain
30	aseguró
31	a
32	EFE
33	que
34	"
35	ahora
36	todos
37	los
38	equipos
39	son
40	peligrosos
41	y
42	seguro
43	que
44	el
45	Liubliana
46	también
47	lo
48	es
49	,
50	pero
51	lo
52	mejor
53	de
54	todo
55	es
56	que
57	el
58	encuentro
59	de
60	vuelta
61	se
62	disputará
63	en
64	Pamplona
65	"
66	.
Position	Tokenization	UPOS	Head	Deprel
1	Entre	ADP	3	case
2	las	DET	3	det
3	preferencias	NOUN	15	obl
4	del	ADP	5	case
5	entrenador	NOUN	3	nmod
6	antoniano	ADJ	5	amod
7	para	ADP	8	mark
8	cruzarse	_	None	_
9	cruzar	VERB	3	acl
10	se	PRON	8	expl:pv
11	en	ADP	13	case
12	la	DET	13	det
13	próxima	ADJ	13	amod
14	ronda	NOUN	8	obl
15	europea	ADJ	13	amod
16	figuraba	VERB	0	root
17	el	DET	17	det
18	Kolding	PROPN	15	nsubj
19	danés	ADJ	17	amod
20	aunque	SCONJ	29	mark
21	,	PUNCT	22	punct
22	tras	ADP	22	mark
23	conocer	VERB	29	advcl
24	el	DET	24	det
25	resultado	NOUN	22	obj
26	del	ADP	26	case
27	sorteo	NOUN	24	nmod
28	,	PUNCT	22	punct
29	Equísoain	PROPN	29	nsubj
30	aseguró	VERB	15	advcl
31	a	ADP	31	case
32	EFE	PROPN	29	iobj
33	que	SCONJ	39	mark
34	"	PUNCT	39	punct
35	ahora	ADV	39	advmod
36	todos	DET	36	det
37	los	DET	37	det
38	equipos	NOUN	39	nsubj
39	son	AUX	39	cop
40	peligrosos	ADJ	29	ccomp
41	y	CCONJ	46	cc
42	seguro	ADJ	46	amod
43	que	SCONJ	46	mark
44	el	DET	44	det
45	Liubliana	PROPN	46	nsubj
46	también	ADV	46	advmod
47	lo	PRON	39	conj
48	es	AUX	46	cop
49	,	PUNCT	54	punct
50	pero	CCONJ	54	cc
51	lo	PRON	51	det
52	mejor	ADJ	54	nsubj
53	de	ADP	53	case
54	todo	PRON	51	nmod
55	es	AUX	39	conj
56	que	SCONJ	61	mark
57	el	DET	57	det
58	encuentro	NOUN	61	nsubj
59	de	ADP	59	case
60	vuelta	NOUN	57	nmod
61	se	PRON	61	expl:pass
62	disputará	VERB	54	ccomp
63	en	ADP	63	case
64	Pamplona	PROPN	61	obl
65	"	PUNCT	39	punct
66	.	PUNCT	15	punct