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:
Pese al dispositivo de seguridad, grupos de jóvenes, algunos disfrazados de tortugas o de otros animales, intentaron concentrarse en el centro de la ciudad para formar cadenas humanas.
Postion	Tokenization
1	Pese
2	al
3	dispositivo
4	de
5	seguridad
6	,
7	grupos
8	de
9	jóvenes
10	,
11	algunos
12	disfrazados
13	de
14	tortugas
15	o
16	de
17	otros
18	animales
19	,
20	intentaron
21	concentrarse
22	concentrar
23	se
24	en
25	el
26	centro
27	de
28	la
29	ciudad
30	para
31	formar
32	cadenas
33	humanas
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Pese	NOUN	3	case
2	al	ADP	1	fixed
3	dispositivo	NOUN	20	obl
4	de	ADP	5	case
5	seguridad	NOUN	3	nmod
6	,	PUNCT	3	punct
7	grupos	NOUN	20	nsubj
8	de	ADP	9	case
9	jóvenes	NOUN	7	nmod
10	,	PUNCT	11	punct
11	algunos	PRON	9	appos
12	disfrazados	ADJ	11	amod
13	de	ADP	14	case
14	tortugas	NOUN	12	obl
15	o	CCONJ	18	cc
16	de	ADP	18	case
17	otros	DET	18	det
18	animales	NOUN	14	conj
19	,	PUNCT	11	punct
20	intentaron	VERB	0	root
21	concentrarse	_	None	_
22	concentrar	VERB	20	xcomp
23	se	PRON	21	expl:pv
24	en	ADP	25	case
25	el	DET	25	det
26	centro	NOUN	21	obl
27	de	ADP	28	case
28	la	DET	28	det
29	ciudad	NOUN	25	nmod
30	para	ADP	30	mark
31	formar	VERB	20	advcl
32	cadenas	NOUN	30	obj
33	humanas	ADJ	31	amod
34	.	PUNCT	20	punct