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:
Gaspart podría utilizar, además, para la recogida de firmas a los miles de bares de toda Catalunya a los que las empresas del hotelero y restaurador prestan servicios.
Postion	Tokenization
1	Gaspart
2	podría
3	utilizar
4	,
5	además
6	,
7	para
8	la
9	recogida
10	de
11	firmas
12	a
13	los
14	miles
15	de
16	bares
17	de
18	toda
19	Catalunya
20	a
21	los
22	que
23	las
24	empresas
25	del
26	hotelero
27	y
28	restaurador
29	prestan
30	servicios
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Gaspart	PROPN	3	nsubj
2	podría	AUX	3	aux
3	utilizar	VERB	0	root
4	,	PUNCT	5	punct
5	además	ADV	3	advmod
6	,	PUNCT	5	punct
7	para	ADP	9	case
8	la	DET	9	det
9	recogida	NOUN	3	obl
10	de	ADP	11	case
11	firmas	NOUN	9	nmod
12	a	ADP	14	case
13	los	DET	14	det
14	miles	NUM	3	obj
15	de	ADP	16	case
16	bares	NOUN	14	nmod
17	de	ADP	19	case
18	toda	DET	19	det
19	Catalunya	PROPN	16	nmod
20	a	ADP	22	case
21	los	DET	22	det
22	que	PRON	29	obj
23	las	DET	24	det
24	empresas	NOUN	29	nsubj
25	del	ADP	26	case
26	hotelero	NOUN	24	nmod
27	y	CCONJ	28	cc
28	restaurador	NOUN	26	conj
29	prestan	VERB	14	advcl
30	servicios	NOUN	29	obj
31	.	PUNCT	3	punct