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:
Sinatra no está, pero reconforta que el mayor legado al futuro de este país de refunfuñados haya sido una carcajada de gato que toca el violín.
Postion	Tokenization
1	Sinatra
2	no
3	está
4	,
5	pero
6	reconforta
7	que
8	el
9	mayor
10	legado
11	al
12	futuro
13	de
14	este
15	país
16	de
17	refunfuñados
18	haya
19	sido
20	una
21	carcajada
22	de
23	gato
24	que
25	toca
26	el
27	violín
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Sinatra	PROPN	3	nsubj
2	no	ADV	3	advmod
3	está	VERB	0	root
4	,	PUNCT	6	punct
5	pero	CCONJ	6	cc
6	reconforta	VERB	3	conj
7	que	SCONJ	21	mark
8	el	DET	10	det
9	mayor	ADJ	10	amod
10	legado	NOUN	21	nsubj
11	al	ADP	12	case
12	futuro	NOUN	10	nmod
13	de	ADP	15	case
14	este	DET	15	det
15	país	NOUN	12	nmod
16	de	ADP	17	case
17	refunfuñados	ADJ	15	amod
18	haya	AUX	21	aux
19	sido	AUX	21	cop
20	una	DET	21	det
21	carcajada	NOUN	6	csubj
22	de	ADP	23	case
23	gato	NOUN	21	nmod
24	que	PRON	25	nsubj
25	toca	VERB	23	acl
26	el	DET	27	det
27	violín	NOUN	25	obj
28	.	PUNCT	3	punct