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:
La policía ha detenido a tres personas, con antecedentes por robos y atracos, que sustraían vehículos para cometer sus fechorías y que después los quemaban o despeñaban por un barranco del barrio barcelonés del Carmel para destruirlos.
Postion	Tokenization
1	La
2	policía
3	ha
4	detenido
5	a
6	tres
7	personas
8	,
9	con
10	antecedentes
11	por
12	robos
13	y
14	atracos
15	,
16	que
17	sustraían
18	vehículos
19	para
20	cometer
21	sus
22	fechorías
23	y
24	que
25	después
26	los
27	quemaban
28	o
29	despeñaban
30	por
31	un
32	barranco
33	del
34	barrio
35	barcelonés
36	del
37	Carmel
38	para
39	destruirlos
40	destruir
41	los
42	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	policía	NOUN	4	nsubj
3	ha	AUX	4	aux
4	detenido	VERB	0	root
5	a	ADP	7	case
6	tres	NUM	7	nummod
7	personas	NOUN	4	obj
8	,	PUNCT	10	punct
9	con	ADP	10	case
10	antecedentes	NOUN	7	nmod
11	por	ADP	12	case
12	robos	NOUN	10	nmod
13	y	CCONJ	14	cc
14	atracos	NOUN	12	conj
15	,	PUNCT	17	punct
16	que	PRON	17	nsubj
17	sustraían	VERB	7	acl
18	vehículos	NOUN	17	obj
19	para	ADP	20	mark
20	cometer	VERB	17	advcl
21	sus	DET	22	det
22	fechorías	NOUN	20	obj
23	y	CCONJ	27	cc
24	que	PRON	27	nsubj
25	después	ADV	27	advmod
26	los	PRON	27	obj
27	quemaban	VERB	17	conj
28	o	CCONJ	29	cc
29	despeñaban	VERB	27	conj
30	por	ADP	32	case
31	un	DET	32	det
32	barranco	NOUN	29	obl
33	del	ADP	34	case
34	barrio	NOUN	32	nmod
35	barcelonés	ADJ	34	amod
36	del	ADP	37	case
37	Carmel	PROPN	34	nmod
38	para	ADP	39	mark
39	destruirlos	_	None	_
40	destruir	VERB	27	advcl
41	los	PRON	39	obj
42	.	PUNCT	4	punct