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 más violentos, principalmente jóvenes de entre 16 y 20 años, algunos incluso encapuchados, incendian contenedores de basura, troncos y coches desguazados, que luego utilizan para sus barricadas y para cortar carreteras.
Postion	Tokenization
1	Los
2	más
3	violentos
4	,
5	principalmente
6	jóvenes
7	de
8	entre
9	16
10	y
11	20
12	años
13	,
14	algunos
15	incluso
16	encapuchados
17	,
18	incendian
19	contenedores
20	de
21	basura
22	,
23	troncos
24	y
25	coches
26	desguazados
27	,
28	que
29	luego
30	utilizan
31	para
32	sus
33	barricadas
34	y
35	para
36	cortar
37	carreteras
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	3	det
2	más	ADV	3	advmod
3	violentos	ADJ	18	nsubj
4	,	PUNCT	6	punct
5	principalmente	ADV	6	advmod
6	jóvenes	ADJ	3	amod
7	de	ADP	12	case
8	entre	ADP	12	case
9	16	NUM	12	nummod
10	y	CCONJ	11	cc
11	20	NUM	9	conj
12	años	NOUN	6	nmod
13	,	PUNCT	14	punct
14	algunos	PRON	3	obj
15	incluso	ADV	16	advmod
16	encapuchados	ADJ	14	amod
17	,	PUNCT	14	punct
18	incendian	VERB	0	root
19	contenedores	NOUN	18	obj
20	de	ADP	21	case
21	basura	NOUN	19	nmod
22	,	PUNCT	23	punct
23	troncos	NOUN	19	conj
24	y	CCONJ	25	cc
25	coches	NOUN	19	conj
26	desguazados	ADJ	25	amod
27	,	PUNCT	30	punct
28	que	PRON	30	obj
29	luego	ADV	30	advmod
30	utilizan	VERB	19	acl
31	para	ADP	33	case
32	sus	DET	33	det
33	barricadas	NOUN	30	obl
34	y	CCONJ	36	cc
35	para	ADP	36	mark
36	cortar	VERB	33	conj
37	carreteras	NOUN	36	obj
38	.	PUNCT	18	punct