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:
Me refiero a los denominados premios de jubilación, de fidelización, de permanencia... una sola vez, equivalente a dos, tres o cuatro mensualidades de su salario.
Postion	Tokenization
1	Me
2	refiero
3	a
4	los
5	denominados
6	premios
7	de
8	jubilación
9	,
10	de
11	fidelización
12	,
13	de
14	permanencia
15	...
16	una
17	sola
18	vez
19	,
20	equivalente
21	a
22	dos
23	,
24	tres
25	o
26	cuatro
27	mensualidades
28	de
29	su
30	salario
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Me	PRON	2	expl:pv
2	refiero	VERB	0	root
3	a	ADP	6	case
4	los	DET	6	det
5	denominados	ADJ	6	amod
6	premios	NOUN	2	obj
7	de	ADP	8	case
8	jubilación	NOUN	6	nmod
9	,	PUNCT	11	punct
10	de	ADP	11	case
11	fidelización	NOUN	8	conj
12	,	PUNCT	14	punct
13	de	ADP	14	case
14	permanencia	NOUN	8	conj
15	...	PUNCT	2	punct
16	una	DET	18	det
17	sola	ADJ	18	amod
18	vez	NOUN	2	obl
19	,	PUNCT	20	punct
20	equivalente	ADJ	18	amod
21	a	ADP	27	case
22	dos	NUM	27	nummod
23	,	PUNCT	24	punct
24	tres	NUM	22	compound
25	o	CCONJ	26	cc
26	cuatro	NUM	22	conj
27	mensualidades	NOUN	20	nmod
28	de	ADP	30	case
29	su	DET	30	det
30	salario	NOUN	27	nmod
31	.	PUNCT	2	punct