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:
Era miembro de su patronato y tiene una sala, la Brossa-Frégoli, donde está expuesta la colección que el poeta enamorado de la magia hizo sobre el transformista Leopold Frégoli y que cedió al museo.
Postion	Tokenization
1	Era
2	miembro
3	de
4	su
5	patronato
6	y
7	tiene
8	una
9	sala
10	,
11	la
12	Brossa-Frégoli
13	,
14	donde
15	está
16	expuesta
17	la
18	colección
19	que
20	el
21	poeta
22	enamorado
23	de
24	la
25	magia
26	hizo
27	sobre
28	el
29	transformista
30	Leopold
31	Frégoli
32	y
33	que
34	cedió
35	al
36	museo
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Era	AUX	2	cop
2	miembro	NOUN	0	root
3	de	ADP	5	case
4	su	DET	5	det
5	patronato	NOUN	2	nmod
6	y	CCONJ	7	cc
7	tiene	VERB	2	conj
8	una	DET	9	det
9	sala	NOUN	7	obj
10	,	PUNCT	12	punct
11	la	DET	12	det
12	Brossa-Frégoli	PROPN	9	appos
13	,	PUNCT	12	punct
14	donde	PRON	15	obl
15	está	VERB	9	acl
16	expuesta	ADJ	15	obj
17	la	DET	18	det
18	colección	NOUN	15	nsubj
19	que	PRON	26	obj
20	el	DET	21	det
21	poeta	NOUN	26	nsubj
22	enamorado	ADJ	21	amod
23	de	ADP	25	case
24	la	DET	25	det
25	magia	NOUN	22	obl
26	hizo	VERB	18	acl
27	sobre	ADP	29	case
28	el	DET	29	det
29	transformista	NOUN	26	obl
30	Leopold	PROPN	29	appos
31	Frégoli	PROPN	30	flat
32	y	CCONJ	34	cc
33	que	PRON	34	obj
34	cedió	VERB	26	conj
35	al	ADP	36	case
36	museo	NOUN	34	obj
37	.	PUNCT	2	punct