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 terrorista de extrema derecha más buscado de Europa, el italiano Pasquale Belsito, de 39 años, fue detenido en la madrugada del pasado sábado en el intercambiador de autobuses de Moncloa, en Madrid.
Postion	Tokenization
1	El
2	terrorista
3	de
4	extrema
5	derecha
6	más
7	buscado
8	de
9	Europa
10	,
11	el
12	italiano
13	Pasquale
14	Belsito
15	,
16	de
17	39
18	años
19	,
20	fue
21	detenido
22	en
23	la
24	madrugada
25	del
26	pasado
27	sábado
28	en
29	el
30	intercambiador
31	de
32	autobuses
33	de
34	Moncloa
35	,
36	en
37	Madrid
38	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	terrorista	NOUN	21	nsubj
3	de	ADP	5	case
4	extrema	ADJ	5	amod
5	derecha	NOUN	2	nmod
6	más	ADV	7	advmod
7	buscado	ADJ	2	amod
8	de	ADP	9	case
9	Europa	PROPN	7	obl
10	,	PUNCT	12	punct
11	el	DET	12	det
12	italiano	NOUN	2	appos
13	Pasquale	PROPN	12	appos
14	Belsito	PROPN	13	flat
15	,	PUNCT	18	punct
16	de	ADP	18	case
17	39	NUM	18	nummod
18	años	NOUN	12	nmod
19	,	PUNCT	18	punct
20	fue	AUX	21	aux
21	detenido	VERB	0	root
22	en	ADP	24	case
23	la	DET	24	det
24	madrugada	NOUN	21	obl
25	del	ADP	27	case
26	pasado	ADJ	27	amod
27	sábado	NOUN	24	nmod
28	en	ADP	30	case
29	el	DET	30	det
30	intercambiador	ADJ	21	advmod
31	de	ADP	32	case
32	autobuses	NOUN	30	nmod
33	de	ADP	34	case
34	Moncloa	PROPN	30	nmod
35	,	PUNCT	37	punct
36	en	ADP	37	case
37	Madrid	PROPN	34	nmod
38	.	PUNCT	21	punct