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:
Fue el precioso regalo de una artista que, a los 61 años, volvió a reunir su cuerpo a la estupenda y conocida voz tras tantos años de exilio voluntario en Suiza.
Postion	Tokenization
1	Fue
2	el
3	precioso
4	regalo
5	de
6	una
7	artista
8	que
9	,
10	a
11	los
12	61
13	años
14	,
15	volvió
16	a
17	reunir
18	su
19	cuerpo
20	a
21	la
22	estupenda
23	y
24	conocida
25	voz
26	tras
27	tantos
28	años
29	de
30	exilio
31	voluntario
32	en
33	Suiza
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Fue	AUX	4	cop
2	el	DET	4	det
3	precioso	ADJ	4	amod
4	regalo	NOUN	0	root
5	de	ADP	7	case
6	una	DET	7	det
7	artista	NOUN	4	nmod
8	que	PRON	15	nsubj
9	,	PUNCT	13	punct
10	a	ADP	13	case
11	los	DET	12	det
12	61	NUM	13	nummod
13	años	NOUN	15	obl
14	,	PUNCT	13	punct
15	volvió	VERB	7	acl
16	a	ADP	17	mark
17	reunir	VERB	15	xcomp
18	su	DET	19	det
19	cuerpo	NOUN	15	obj
20	a	ADP	25	case
21	la	DET	25	det
22	estupenda	ADJ	25	amod
23	y	CCONJ	24	cc
24	conocida	ADJ	22	conj
25	voz	NOUN	15	obj
26	tras	ADP	28	case
27	tantos	DET	28	det
28	años	NOUN	15	obl
29	de	ADP	30	case
30	exilio	NOUN	28	nmod
31	voluntario	ADJ	30	amod
32	en	ADP	33	case
33	Suiza	PROPN	30	nmod
34	.	PUNCT	4	punct