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:
Las protestas estallaron un día después de la entrada en vigor de un aumento del 33 por ciento de las tarifas para las categorías preferencial y popular de transporte colectivo.
Postion	Tokenization
1	Las
2	protestas
3	estallaron
4	un
5	día
6	después
7	de
8	la
9	entrada
10	en
11	vigor
12	de
13	un
14	aumento
15	del
16	33
17	por
18	ciento
19	de
20	las
21	tarifas
22	para
23	las
24	categorías
25	preferencial
26	y
27	popular
28	de
29	transporte
30	colectivo
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	protestas	NOUN	3	nsubj
3	estallaron	VERB	0	root
4	un	DET	5	det
5	día	NOUN	6	obl
6	después	ADV	3	advmod
7	de	ADP	9	case
8	la	DET	9	det
9	entrada	NOUN	6	obl
10	en	ADP	11	case
11	vigor	NOUN	9	nmod
12	de	ADP	14	case
13	un	DET	14	det
14	aumento	NOUN	9	nmod
15	del	ADP	16	case
16	33	NUM	14	nummod
17	por	ADP	18	case
18	ciento	NUM	16	compound
19	de	ADP	21	case
20	las	DET	21	det
21	tarifas	NOUN	16	nmod
22	para	ADP	24	case
23	las	DET	24	det
24	categorías	NOUN	21	nmod
25	preferencial	ADJ	24	amod
26	y	CCONJ	27	cc
27	popular	ADJ	25	conj
28	de	ADP	29	case
29	transporte	NOUN	24	nmod
30	colectivo	ADJ	29	amod
31	.	PUNCT	3	punct