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:
Bajo el epígrafe Arte, la noche temática, pasaron la vida de la única cantante del universo que no es su voz, sino su alma lo que se escucha cuando interpreta.
Postion	Tokenization
1	Bajo
2	el
3	epígrafe
4	Arte,
5	la
6	noche
7	temática
8	,
9	pasaron
10	la
11	vida
12	de
13	la
14	única
15	cantante
16	del
17	universo
18	que
19	no
20	es
21	su
22	voz
23	,
24	sino
25	su
26	alma
27	lo
28	que
29	se
30	escucha
31	cuando
32	interpreta
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Bajo	ADP	3	case
2	el	DET	3	det
3	epígrafe	NOUN	9	obl
4	Arte,	PROPN	3	appos
5	la	DET	6	det
6	noche	NOUN	4	appos
7	temática	ADJ	6	amod
8	,	PUNCT	3	punct
9	pasaron	VERB	0	root
10	la	DET	11	det
11	vida	NOUN	9	obj
12	de	ADP	15	case
13	la	DET	15	det
14	única	ADJ	15	amod
15	cantante	NOUN	11	nmod
16	del	ADP	17	case
17	universo	NOUN	15	nmod
18	que	SCONJ	22	mark
19	no	ADV	22	advmod
20	es	AUX	22	cop
21	su	DET	22	det
22	voz	NOUN	9	parataxis
23	,	PUNCT	26	punct
24	sino	CCONJ	26	cc
25	su	DET	26	det
26	alma	NOUN	22	conj
27	lo	PRON	22	nsubj
28	que	PRON	30	nsubj
29	se	PRON	30	expl:pass
30	escucha	VERB	27	acl
31	cuando	SCONJ	32	mark
32	interpreta	VERB	30	advcl
33	.	PUNCT	9	punct