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:
En los 80, su voz aguda, entre la guasa y el lamento, se convirtió en un clásico de gasolinera, con éxitos suburbiales como Caballo maldito y Al Andalus.
Postion	Tokenization
1	En
2	los
3	80
4	,
5	su
6	voz
7	aguda
8	,
9	entre
10	la
11	guasa
12	y
13	el
14	lamento
15	,
16	se
17	convirtió
18	en
19	un
20	clásico
21	de
22	gasolinera
23	,
24	con
25	éxitos
26	suburbiales
27	como
28	Caballo
29	maldito
30	y
31	Al
32	Andalus
33	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	los	DET	3	det
3	80	NOUN	17	obl
4	,	PUNCT	3	punct
5	su	DET	6	det
6	voz	NOUN	17	nsubj
7	aguda	ADJ	6	amod
8	,	PUNCT	11	punct
9	entre	ADP	11	case
10	la	DET	11	det
11	guasa	NOUN	6	nmod
12	y	CCONJ	14	cc
13	el	DET	14	det
14	lamento	NOUN	11	conj
15	,	PUNCT	11	punct
16	se	PRON	17	expl:pv
17	convirtió	VERB	0	root
18	en	ADP	20	case
19	un	DET	20	det
20	clásico	NOUN	17	obj
21	de	ADP	22	case
22	gasolinera	NOUN	20	nmod
23	,	PUNCT	25	punct
24	con	ADP	25	case
25	éxitos	NOUN	17	obl
26	suburbiales	ADJ	25	amod
27	como	SCONJ	28	mark
28	Caballo	PROPN	25	nmod
29	maldito	PROPN	28	flat
30	y	CCONJ	32	cc
31	Al	ADP	32	case
32	Andalus	PROPN	28	conj
33	.	PUNCT	17	punct