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:
Además, en la Fundació Miró hay un restaurante que es muy agradable, sobre todo cuando hace buen tiempo, porque tiene una parte al aire libre, en un patio interior del museo.
Postion	Tokenization
1	Además
2	,
3	en
4	la
5	Fundació
6	Miró
7	hay
8	un
9	restaurante
10	que
11	es
12	muy
13	agradable
14	,
15	sobre
16	todo
17	cuando
18	hace
19	buen
20	tiempo
21	,
22	porque
23	tiene
24	una
25	parte
26	al
27	aire
28	libre
29	,
30	en
31	un
32	patio
33	interior
34	del
35	museo
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Además	ADV	7	advmod
2	,	PUNCT	1	punct
3	en	ADP	5	case
4	la	DET	5	det
5	Fundació	PROPN	7	obl
6	Miró	PROPN	5	flat
7	hay	AUX	0	root
8	un	DET	9	det
9	restaurante	NOUN	7	obj
10	que	PRON	13	nsubj
11	es	AUX	13	cop
12	muy	ADV	13	advmod
13	agradable	ADJ	9	acl
14	,	PUNCT	18	punct
15	sobre	ADP	18	advmod
16	todo	PRON	15	fixed
17	cuando	SCONJ	18	mark
18	hace	VERB	13	advcl
19	buen	ADJ	20	amod
20	tiempo	NOUN	18	obj
21	,	PUNCT	18	punct
22	porque	SCONJ	23	mark
23	tiene	VERB	13	advcl
24	una	DET	25	det
25	parte	NOUN	23	obj
26	al	ADP	25	advmod
27	aire	NOUN	26	fixed
28	libre	ADJ	26	fixed
29	,	PUNCT	32	punct
30	en	ADP	32	case
31	un	DET	32	det
32	patio	NOUN	25	nmod
33	interior	ADJ	32	amod
34	del	ADP	35	case
35	museo	NOUN	32	nmod
36	.	PUNCT	7	punct