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:
Brossa fue un poeta singular, un artista puro que tuvo la habilidad y la voluntad de interrelacionar diferentes formas artísticas; todas, eso sí, al abrigo de la poesía: escrita, visual, escénica, corpórea...
Postion	Tokenization
1	Brossa
2	fue
3	un
4	poeta
5	singular
6	,
7	un
8	artista
9	puro
10	que
11	tuvo
12	la
13	habilidad
14	y
15	la
16	voluntad
17	de
18	interrelacionar
19	diferentes
20	formas
21	artísticas
22	;
23	todas
24	,
25	eso
26	sí
27	,
28	al
29	abrigo
30	de
31	la
32	poesía
33	:
34	escrita
35	,
36	visual
37	,
38	escénica
39	,
40	corpórea
41	...
Position	Tokenization	UPOS	Head	Deprel
1	Brossa	PROPN	4	nsubj
2	fue	AUX	4	cop
3	un	DET	4	det
4	poeta	NOUN	0	root
5	singular	ADJ	4	amod
6	,	PUNCT	4	punct
7	un	DET	8	det
8	artista	NOUN	4	appos
9	puro	ADJ	8	amod
10	que	PRON	11	nsubj
11	tuvo	VERB	8	acl
12	la	DET	13	det
13	habilidad	NOUN	11	obj
14	y	CCONJ	16	cc
15	la	DET	16	det
16	voluntad	NOUN	13	conj
17	de	ADP	18	mark
18	interrelacionar	VERB	16	acl
19	diferentes	DET	20	det
20	formas	NOUN	18	obj
21	artísticas	ADJ	20	amod
22	;	PUNCT	4	punct
23	todas	PRON	4	obl
24	,	PUNCT	25	punct
25	eso	PRON	23	appos
26	sí	INTJ	25	advcl
27	,	PUNCT	25	punct
28	al	ADP	32	case
29	abrigo	NOUN	28	fixed
30	de	ADP	28	fixed
31	la	DET	32	det
32	poesía	NOUN	23	nmod
33	:	PUNCT	36	punct
34	escrita	ADJ	36	advmod
35	,	PUNCT	36	punct
36	visual	ADJ	32	amod
37	,	PUNCT	36	punct
38	escénica	ADJ	36	amod
39	,	PUNCT	36	punct
40	corpórea	ADJ	36	amod
41	...	PUNCT	4	punct