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:
Su intención es convertir La Carpa en "un lugar polivalente", que abarque no sólo disciplinas clásicas circenses sino también piezas de teatro, títeres, danza, cabaret y música.
Postion	Tokenization
1	Su
2	intención
3	es
4	convertir
5	La
6	Carpa
7	en
8	"
9	un
10	lugar
11	polivalente
12	"
13	,
14	que
15	abarque
16	no
17	sólo
18	disciplinas
19	clásicas
20	circenses
21	sino
22	también
23	piezas
24	de
25	teatro
26	,
27	títeres
28	,
29	danza
30	,
31	cabaret
32	y
33	música
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Su	DET	2	det
2	intención	NOUN	3	nsubj
3	es	AUX	0	root
4	convertir	VERB	3	ccomp
5	La	DET	6	det
6	Carpa	PROPN	4	obj
7	en	ADP	10	case
8	"	PUNCT	10	punct
9	un	DET	10	det
10	lugar	NOUN	4	obj
11	polivalente	ADJ	10	amod
12	"	PUNCT	10	punct
13	,	PUNCT	15	punct
14	que	PRON	15	nsubj
15	abarque	VERB	10	acl
16	no	PART	18	cc
17	sólo	ADV	16	fixed
18	disciplinas	NOUN	15	obj
19	clásicas	ADJ	18	amod
20	circenses	ADJ	18	amod
21	sino	CCONJ	23	cc
22	también	NOUN	21	fixed
23	piezas	NOUN	18	conj
24	de	ADP	25	case
25	teatro	NOUN	23	nmod
26	,	PUNCT	27	punct
27	títeres	NOUN	25	conj
28	,	PUNCT	29	punct
29	danza	NOUN	25	conj
30	,	PUNCT	31	punct
31	cabaret	NOUN	25	conj
32	y	CCONJ	33	cc
33	música	NOUN	25	conj
34	.	PUNCT	3	punct