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:
El músico debutará esta temporada en el Liceu, acompañando también a su tío en la ópera Sly, de Wolf Ferrari.
Postion	Tokenization
1	El
2	músico
3	debutará
4	esta
5	temporada
6	en
7	el
8	Liceu
9	,
10	acompañando
11	también
12	a
13	su
14	tío
15	en
16	la
17	ópera
18	Sly
19	,
20	de
21	Wolf
22	Ferrari
23	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	músico	NOUN	3	nsubj
3	debutará	VERB	0	root
4	esta	DET	5	det
5	temporada	NOUN	3	obl
6	en	ADP	8	case
7	el	DET	8	det
8	Liceu	PROPN	3	obl
9	,	PUNCT	10	punct
10	acompañando	VERB	3	advcl
11	también	ADV	10	advmod
12	a	ADP	14	case
13	su	DET	14	det
14	tío	NOUN	10	obj
15	en	ADP	17	case
16	la	DET	17	det
17	ópera	NOUN	10	obl
18	Sly	PROPN	17	appos
19	,	PUNCT	21	punct
20	de	ADP	21	case
21	Wolf	PROPN	17	nmod
22	Ferrari	PROPN	21	flat
23	.	PUNCT	3	punct