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:
Xavier Oliveras recibió una llamada del servicio jurídico del ayuntamiento para saber el coste de la placa (30.000 pesetas) y reclamarlo a la aseguradora del camión.
Postion	Tokenization
1	Xavier
2	Oliveras
3	recibió
4	una
5	llamada
6	del
7	servicio
8	jurídico
9	del
10	ayuntamiento
11	para
12	saber
13	el
14	coste
15	de
16	la
17	placa
18	(
19	30.000
20	pesetas
21	)
22	y
23	reclamarlo
24	reclamar
25	lo
26	a
27	la
28	aseguradora
29	del
30	camión
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Xavier	PROPN	3	nsubj
2	Oliveras	PROPN	1	flat
3	recibió	VERB	0	root
4	una	DET	5	det
5	llamada	NOUN	3	obj
6	del	ADP	7	case
7	servicio	NOUN	5	nmod
8	jurídico	ADJ	7	amod
9	del	ADP	10	case
10	ayuntamiento	NOUN	7	nmod
11	para	ADP	12	mark
12	saber	VERB	5	acl
13	el	DET	14	det
14	coste	NOUN	12	obj
15	de	ADP	17	case
16	la	DET	17	det
17	placa	NOUN	14	nmod
18	(	PUNCT	20	punct
19	30.000	NUM	20	nummod
20	pesetas	NOUN	14	appos
21	)	PUNCT	20	punct
22	y	CCONJ	23	cc
23	reclamarlo	_	None	_
24	reclamar	VERB	12	conj
25	lo	PRON	23	obj
26	a	ADP	27	case
27	la	DET	27	det
28	aseguradora	NOUN	23	obj
29	del	ADP	29	case
30	camión	NOUN	27	nmod
31	.	PUNCT	3	punct