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:
Citó en concreto la posibilidad de que la falta de una salida al conflicto dé alas a las facciones radicales y contribuya a que se produzca un incremento en la acción de los terroristas.
Postion	Tokenization
1	Citó
2	en
3	concreto
4	la
5	posibilidad
6	de
7	que
8	la
9	falta
10	de
11	una
12	salida
13	al
14	conflicto
15	dé
16	alas
17	a
18	las
19	facciones
20	radicales
21	y
22	contribuya
23	a
24	que
25	se
26	produzca
27	un
28	incremento
29	en
30	la
31	acción
32	de
33	los
34	terroristas
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Citó	VERB	0	root
2	en	ADP	5	advmod
3	concreto	NOUN	2	fixed
4	la	DET	5	det
5	posibilidad	NOUN	1	obj
6	de	ADP	15	mark
7	que	SCONJ	15	mark
8	la	DET	9	det
9	falta	NOUN	15	nsubj
10	de	ADP	12	case
11	una	DET	12	det
12	salida	NOUN	9	nmod
13	al	ADP	14	case
14	conflicto	NOUN	12	nmod
15	dé	VERB	5	acl
16	alas	NOUN	15	obj
17	a	ADP	19	case
18	las	DET	19	det
19	facciones	NOUN	15	obj
20	radicales	ADJ	19	amod
21	y	CCONJ	22	cc
22	contribuya	VERB	15	conj
23	a	ADP	26	mark
24	que	SCONJ	26	mark
25	se	PRON	26	expl:pv
26	produzca	VERB	22	ccomp
27	un	DET	28	det
28	incremento	NOUN	26	nsubj
29	en	ADP	31	case
30	la	DET	31	det
31	acción	NOUN	28	nmod
32	de	ADP	34	case
33	los	DET	34	det
34	terroristas	NOUN	31	nmod
35	.	PUNCT	1	punct