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:
Las pesquisas se centraron sobre el detenido por sus antecedentes y porque su descripción y su dirección, en el barrio de San Diego, coincidían con las primeras informaciones recabadas.
Postion	Tokenization
1	Las
2	pesquisas
3	se
4	centraron
5	sobre
6	el
7	detenido
8	por
9	sus
10	antecedentes
11	y
12	porque
13	su
14	descripción
15	y
16	su
17	dirección
18	,
19	en
20	el
21	barrio
22	de
23	San
24	Diego
25	,
26	coincidían
27	con
28	las
29	primeras
30	informaciones
31	recabadas
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	pesquisas	NOUN	4	nsubj
3	se	PRON	4	expl:pv
4	centraron	VERB	0	root
5	sobre	ADP	7	case
6	el	DET	7	det
7	detenido	ADJ	4	advmod
8	por	ADP	10	case
9	sus	DET	10	det
10	antecedentes	NOUN	4	obl
11	y	CCONJ	26	cc
12	porque	SCONJ	26	mark
13	su	DET	14	det
14	descripción	NOUN	26	nsubj
15	y	CCONJ	17	cc
16	su	DET	17	det
17	dirección	NOUN	14	conj
18	,	PUNCT	21	punct
19	en	ADP	21	case
20	el	DET	21	det
21	barrio	NOUN	17	nmod
22	de	ADP	23	case
23	San	PROPN	21	nmod
24	Diego	PROPN	23	flat
25	,	PUNCT	21	punct
26	coincidían	VERB	10	conj
27	con	ADP	30	case
28	las	DET	30	det
29	primeras	ADJ	30	amod
30	informaciones	NOUN	26	obj
31	recabadas	ADJ	30	amod
32	.	PUNCT	4	punct