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:
Se trata de los alcaldes de Vilanova i la Geltrú (Garraf), Esteve Orriols (CiU), y el de Palamós (Baix Empordà), Jordi Pallí (CiU).
Postion	Tokenization
1	Se
2	trata
3	de
4	los
5	alcaldes
6	de
7	Vilanova
8	i
9	la
10	Geltrú
11	(
12	Garraf
13	)
14	,
15	Esteve
16	Orriols
17	(
18	CiU
19	)
20	,
21	y
22	el
23	de
24	Palamós
25	(
26	Baix
27	Empordà
28	)
29	,
30	Jordi
31	Pallí
32	(
33	CiU
34	)
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Se	PRON	2	expl:impers
2	trata	VERB	0	root
3	de	ADP	5	case
4	los	DET	5	det
5	alcaldes	NOUN	2	obj
6	de	ADP	7	case
7	Vilanova	PROPN	5	nmod
8	i	CCONJ	10	cc
9	la	DET	10	det
10	Geltrú	PROPN	7	conj
11	(	PUNCT	12	punct
12	Garraf	PROPN	7	flat
13	)	PUNCT	12	punct
14	,	PUNCT	15	punct
15	Esteve	PROPN	5	appos
16	Orriols	PROPN	15	flat
17	(	PUNCT	18	punct
18	CiU	PROPN	15	flat
19	)	PUNCT	18	punct
20	,	PUNCT	15	punct
21	y	CCONJ	22	cc
22	el	DET	5	conj
23	de	ADP	22	case
24	Palamós	PROPN	22	obj
25	(	PUNCT	26	punct
26	Baix	ADJ	24	flat
27	Empordà	PROPN	26	flat
28	)	PUNCT	26	punct
29	,	PUNCT	30	punct
30	Jordi	PROPN	22	nmod
31	Pallí	PROPN	30	flat
32	(	PUNCT	33	punct
33	CiU	PROPN	30	flat
34	)	PUNCT	33	punct
35	.	PUNCT	2	punct