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:
Los incidentes del martes fueron protagonizados por jóvenes encapuchados y equipados con máscaras antigás que rompieron escaparates de los centros comerciales, incendiaron contenedores y se enfrentaron repetidamente a la policía.
Postion	Tokenization
1	Los
2	incidentes
3	del
4	martes
5	fueron
6	protagonizados
7	por
8	jóvenes
9	encapuchados
10	y
11	equipados
12	con
13	máscaras
14	antigás
15	que
16	rompieron
17	escaparates
18	de
19	los
20	centros
21	comerciales
22	,
23	incendiaron
24	contenedores
25	y
26	se
27	enfrentaron
28	repetidamente
29	a
30	la
31	policía
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	incidentes	NOUN	6	nsubj
3	del	ADP	4	case
4	martes	NOUN	2	nmod
5	fueron	AUX	6	aux
6	protagonizados	VERB	0	root
7	por	ADP	8	case
8	jóvenes	NOUN	6	obj
9	encapuchados	ADJ	8	amod
10	y	CCONJ	11	cc
11	equipados	ADJ	9	conj
12	con	ADP	13	case
13	máscaras	NOUN	11	obl
14	antigás	ADJ	13	amod
15	que	PRON	16	nsubj
16	rompieron	VERB	8	acl
17	escaparates	NOUN	16	obj
18	de	ADP	20	case
19	los	DET	20	det
20	centros	NOUN	17	nmod
21	comerciales	ADJ	20	amod
22	,	PUNCT	23	punct
23	incendiaron	VERB	16	advcl
24	contenedores	NOUN	23	obj
25	y	CCONJ	27	cc
26	se	PRON	27	expl:pv
27	enfrentaron	VERB	16	conj
28	repetidamente	ADV	27	advmod
29	a	ADP	31	case
30	la	DET	31	det
31	policía	NOUN	27	obj
32	.	PUNCT	6	punct