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:
Coescribió Barcelona, 13 (1997), libro en el que demostró su arte y sensibilidad con retratos como el del poeta Brossa.
Postion	Tokenization
1	Coescribió
2	Barcelona
3	,
4	13
5	(
6	1997
7	)
8	,
9	libro
10	en
11	el
12	que
13	demostró
14	su
15	arte
16	y
17	sensibilidad
18	con
19	retratos
20	como
21	el
22	del
23	poeta
24	Brossa
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Coescribió	VERB	0	root
2	Barcelona	PROPN	1	obj
3	,	PUNCT	2	punct
4	13	NUM	2	nummod
5	(	PUNCT	6	punct
6	1997	NOUN	2	appos
7	)	PUNCT	6	punct
8	,	PUNCT	9	punct
9	libro	NOUN	2	appos
10	en	ADP	12	case
11	el	DET	12	det
12	que	PRON	13	obl
13	demostró	VERB	9	acl
14	su	DET	15	det
15	arte	NOUN	13	obj
16	y	CCONJ	17	cc
17	sensibilidad	NOUN	15	conj
18	con	ADP	19	case
19	retratos	NOUN	13	obl
20	como	SCONJ	21	mark
21	el	DET	19	det
22	del	ADP	21	case
23	poeta	NOUN	21	nmod
24	Brossa	PROPN	23	appos
25	.	PUNCT	1	punct