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:
Tanto el edificio, de Josep Lluís Sert, como el contenido artístico que se puede contemplar en él se convirtieron muy pronto en un punto de visita destacado en la montaña de Montjuïc.
Postion	Tokenization
1	Tanto
2	el
3	edificio
4	,
5	de
6	Josep
7	Lluís
8	Sert
9	,
10	como
11	el
12	contenido
13	artístico
14	que
15	se
16	puede
17	contemplar
18	en
19	él
20	se
21	convirtieron
22	muy
23	pronto
24	en
25	un
26	punto
27	de
28	visita
29	destacado
30	en
31	la
32	montaña
33	de
34	Montjuïc
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Tanto	ADV	3	cc
2	el	DET	3	det
3	edificio	NOUN	21	nsubj
4	,	PUNCT	6	punct
5	de	ADP	6	case
6	Josep	PROPN	3	nmod
7	Lluís	PROPN	6	flat
8	Sert	PROPN	6	flat
9	,	PUNCT	6	punct
10	como	SCONJ	12	cc
11	el	DET	12	det
12	contenido	NOUN	3	conj
13	artístico	ADJ	12	amod
14	que	PRON	17	nsubj
15	se	PRON	17	expl:pass
16	puede	AUX	17	aux
17	contemplar	VERB	12	acl
18	en	ADP	19	case
19	él	PRON	17	obl
20	se	PRON	21	expl:pv
21	convirtieron	VERB	0	root
22	muy	ADV	23	advmod
23	pronto	ADV	21	advmod
24	en	ADP	26	case
25	un	DET	26	det
26	punto	NOUN	21	obj
27	de	ADP	28	case
28	visita	NOUN	26	nmod
29	destacado	ADJ	26	amod
30	en	ADP	32	case
31	la	DET	32	det
32	montaña	NOUN	29	obl
33	de	ADP	34	case
34	Montjuïc	PROPN	32	nmod
35	.	PUNCT	21	punct