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 nuevo mercado de Santa Caterina, en Ciutat Vella, tendrá una gran cubierta decorada con azulejos estampados con frutas y verduras que se verá a vista de pájaro.
Postion	Tokenization
1	El
2	nuevo
3	mercado
4	de
5	Santa
6	Caterina
7	,
8	en
9	Ciutat
10	Vella
11	,
12	tendrá
13	una
14	gran
15	cubierta
16	decorada
17	con
18	azulejos
19	estampados
20	con
21	frutas
22	y
23	verduras
24	que
25	se
26	verá
27	a
28	vista
29	de
30	pájaro
31	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	nuevo	ADJ	3	amod
3	mercado	NOUN	12	nsubj
4	de	ADP	5	case
5	Santa	PROPN	3	nmod
6	Caterina	PROPN	5	flat
7	,	PUNCT	9	punct
8	en	ADP	9	case
9	Ciutat	PROPN	3	nmod
10	Vella	PROPN	9	flat
11	,	PUNCT	9	punct
12	tendrá	VERB	0	root
13	una	DET	15	det
14	gran	ADJ	15	amod
15	cubierta	NOUN	12	obj
16	decorada	ADJ	15	amod
17	con	ADP	18	case
18	azulejos	NOUN	16	obl
19	estampados	ADJ	18	amod
20	con	ADP	21	case
21	frutas	NOUN	19	obl
22	y	CCONJ	23	cc
23	verduras	NOUN	21	conj
24	que	PRON	26	nsubj
25	se	PRON	26	expl:pass
26	verá	VERB	15	acl
27	a	ADP	26	advmod
28	vista	NOUN	27	fixed
29	de	ADP	27	fixed
30	pájaro	NOUN	27	fixed
31	.	PUNCT	12	punct