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:
Estando en Figueres, tan cerca, debía pensar en el encargo que le acababa de hacer el Ayuntamiento de Girona: un poema corpóreo - - Brossa prefería este nombre - - para instalar en el Museu del Cinema.
Postion	Tokenization
1	Estando
2	en
3	Figueres
4	,
5	tan
6	cerca
7	,
8	debía
9	pensar
10	en
11	el
12	encargo
13	que
14	le
15	acababa
16	de
17	hacer
18	el
19	Ayuntamiento
20	de
21	Girona
22	:
23	un
24	poema
25	corpóreo
26	-
27	-
28	Brossa
29	prefería
30	este
31	nombre
32	-
33	-
34	para
35	instalar
36	en
37	el
38	Museu
39	del
40	Cinema
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Estando	VERB	9	advcl
2	en	ADP	3	case
3	Figueres	PROPN	1	obl
4	,	PUNCT	6	punct
5	tan	ADV	6	advmod
6	cerca	ADV	3	advmod
7	,	PUNCT	6	punct
8	debía	AUX	9	aux
9	pensar	VERB	0	root
10	en	ADP	12	case
11	el	DET	12	det
12	encargo	NOUN	9	obj
13	que	PRON	17	obj
14	le	PRON	17	obj
15	acababa	VERB	12	acl
16	de	ADP	17	mark
17	hacer	VERB	15	xcomp
18	el	DET	19	det
19	Ayuntamiento	PROPN	15	nsubj
20	de	ADP	21	case
21	Girona	PROPN	19	flat
22	:	PUNCT	24	punct
23	un	DET	24	det
24	poema	NOUN	12	appos
25	corpóreo	ADJ	24	amod
26	-	PUNCT	29	punct
27	-	PUNCT	29	punct
28	Brossa	PROPN	29	nsubj
29	prefería	VERB	24	parataxis
30	este	DET	31	det
31	nombre	NOUN	29	obj
32	-	PUNCT	29	punct
33	-	PUNCT	29	punct
34	para	ADP	35	mark
35	instalar	VERB	24	acl
36	en	ADP	38	case
37	el	DET	38	det
38	Museu	PROPN	35	obl
39	del	ADP	40	case
40	Cinema	PROPN	38	flat
41	.	PUNCT	9	punct