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:
Porque lo que importaba era únicamente la sonrisa en el bar, el jajajá, la posibilidad de comentar algo aparte de Hola Raffaella del jueves y del penalti del sábado.
Postion	Tokenization
1	Porque
2	lo
3	que
4	importaba
5	era
6	únicamente
7	la
8	sonrisa
9	en
10	el
11	bar
12	,
13	el
14	jajajá
15	,
16	la
17	posibilidad
18	de
19	comentar
20	algo
21	aparte
22	de
23	Hola
24	Raffaella
25	del
26	jueves
27	y
28	del
29	penalti
30	del
31	sábado
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Porque	SCONJ	8	mark
2	lo	PRON	4	det
3	que	PRON	4	nsubj
4	importaba	VERB	8	csubj
5	era	AUX	8	cop
6	únicamente	ADV	8	advmod
7	la	DET	8	det
8	sonrisa	NOUN	0	root
9	en	ADP	11	case
10	el	DET	11	det
11	bar	NOUN	8	nmod
12	,	PUNCT	8	punct
13	el	DET	14	det
14	jajajá	NOUN	8	appos
15	,	PUNCT	8	punct
16	la	DET	17	det
17	posibilidad	NOUN	8	appos
18	de	ADP	19	mark
19	comentar	VERB	17	acl
20	algo	PRON	19	obj
21	aparte	ADV	23	case
22	de	ADP	21	fixed
23	Hola	PROPN	19	obl
24	Raffaella	PROPN	23	flat
25	del	ADP	26	case
26	jueves	NOUN	23	nmod
27	y	CCONJ	29	cc
28	del	ADP	29	case
29	penalti	NOUN	23	conj
30	del	ADP	31	case
31	sábado	NOUN	29	nmod
32	.	PUNCT	8	punct