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:
Añadió que prefiere escribir música a partir de unas imágenes o bocetos visuales, como le ocurre cada vez que colabora con Robert Wilson, director de escena de esta producción.
Postion	Tokenization
1	Añadió
2	que
3	prefiere
4	escribir
5	música
6	a
7	partir
8	de
9	unas
10	imágenes
11	o
12	bocetos
13	visuales
14	,
15	como
16	le
17	ocurre
18	cada
19	vez
20	que
21	colabora
22	con
23	Robert
24	Wilson
25	,
26	director
27	de
28	escena
29	de
30	esta
31	producción
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Añadió	VERB	0	root
2	que	SCONJ	3	mark
3	prefiere	VERB	1	ccomp
4	escribir	VERB	3	xcomp
5	música	NOUN	4	obj
6	a	ADP	10	case
7	partir	NOUN	6	fixed
8	de	ADP	6	fixed
9	unas	DET	10	det
10	imágenes	NOUN	4	obl
11	o	CCONJ	12	cc
12	bocetos	NOUN	10	conj
13	visuales	ADJ	12	amod
14	,	PUNCT	17	punct
15	como	SCONJ	17	mark
16	le	PRON	17	obj
17	ocurre	VERB	3	advcl
18	cada	DET	19	det
19	vez	NOUN	17	obl
20	que	PRON	21	obl
21	colabora	VERB	19	acl
22	con	ADP	23	case
23	Robert	PROPN	21	obj
24	Wilson	PROPN	23	flat
25	,	PUNCT	26	punct
26	director	NOUN	23	appos
27	de	ADP	28	case
28	escena	NOUN	26	nmod
29	de	ADP	31	case
30	esta	DET	31	det
31	producción	NOUN	26	nmod
32	.	PUNCT	1	punct