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 violentos aprovecharon ayer la presencia de cientos de jóvenes en las calles de Algorta, que celebraban las fiestas de San Ignacio, para camuflarse entre la multitud.
Postion	Tokenization
1	Los
2	violentos
3	aprovecharon
4	ayer
5	la
6	presencia
7	de
8	cientos
9	de
10	jóvenes
11	en
12	las
13	calles
14	de
15	Algorta
16	,
17	que
18	celebraban
19	las
20	fiestas
21	de
22	San
23	Ignacio
24	,
25	para
26	camuflarse
27	camuflar
28	se
29	entre
30	la
31	multitud
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	violentos	ADJ	3	nsubj
3	aprovecharon	VERB	0	root
4	ayer	ADV	3	advmod
5	la	DET	6	det
6	presencia	NOUN	3	obj
7	de	ADP	10	case
8	cientos	NUM	10	nummod
9	de	ADP	8	case
10	jóvenes	NOUN	6	nmod
11	en	ADP	13	case
12	las	DET	13	det
13	calles	NOUN	6	nmod
14	de	ADP	15	case
15	Algorta	PROPN	13	nmod
16	,	PUNCT	18	punct
17	que	PRON	18	nsubj
18	celebraban	VERB	3	advcl
19	las	DET	20	det
20	fiestas	NOUN	18	obj
21	de	ADP	22	case
22	San	PROPN	20	nmod
23	Ignacio	PROPN	22	flat
24	,	PUNCT	26	punct
25	para	ADP	26	mark
26	camuflarse	_	None	_
27	camuflar	VERB	3	advcl
28	se	PRON	26	expl:pv
29	entre	ADP	30	case
30	la	DET	30	det
31	multitud	NOUN	26	obl
32	.	PUNCT	3	punct