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 tiene constancia de que, al menos en una ocasión, los tres atracadores prendieron fuego al vehículo empleado para perpetrar sus robos y que las llamas se propagaron a otros coches aparcados.
Postion	Tokenization
1	La
2	policía
3	tiene
4	constancia
5	de
6	que
7	,
8	al
9	menos
10	en
11	una
12	ocasión
13	,
14	los
15	tres
16	atracadores
17	prendieron
18	fuego
19	al
20	vehículo
21	empleado
22	para
23	perpetrar
24	sus
25	robos
26	y
27	que
28	las
29	llamas
30	se
31	propagaron
32	a
33	otros
34	coches
35	aparcados
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	policía	NOUN	3	nsubj
3	tiene	VERB	0	root
4	constancia	NOUN	3	obj
5	de	ADP	17	mark
6	que	SCONJ	17	mark
7	,	PUNCT	8	punct
8	al	ADP	17	advmod
9	menos	ADV	8	fixed
10	en	ADP	8	case
11	una	DET	12	det
12	ocasión	NOUN	8	nmod
13	,	PUNCT	8	punct
14	los	DET	16	det
15	tres	NUM	14	nummod
16	atracadores	NOUN	17	nsubj
17	prendieron	VERB	4	acl
18	fuego	NOUN	17	obj
19	al	ADP	20	case
20	vehículo	NOUN	17	obj
21	empleado	ADJ	20	amod
22	para	ADP	23	mark
23	perpetrar	VERB	21	advcl
24	sus	DET	25	det
25	robos	NOUN	23	obj
26	y	CCONJ	31	cc
27	que	SCONJ	31	mark
28	las	DET	29	det
29	llamas	NOUN	31	nsubj
30	se	PRON	31	expl:pv
31	propagaron	VERB	17	conj
32	a	ADP	34	case
33	otros	DET	34	det
34	coches	NOUN	31	obl
35	aparcados	ADJ	34	amod
36	.	PUNCT	3	punct