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:
Cientos de policías pertrechados con material antidisturbio pesado controlaron las calles del centro de la ciudad, en especial un amplio perímetro alrededor del centro de congresos.
Postion	Tokenization
1	Cientos
2	de
3	policías
4	pertrechados
5	con
6	material
7	antidisturbio
8	pesado
9	controlaron
10	las
11	calles
12	del
13	centro
14	de
15	la
16	ciudad
17	,
18	en
19	especial
20	un
21	amplio
22	perímetro
23	alrededor
24	del
25	centro
26	de
27	congresos
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Cientos	NUM	9	nsubj
2	de	ADP	3	case
3	policías	NOUN	1	nmod
4	pertrechados	ADJ	3	amod
5	con	ADP	6	case
6	material	NOUN	4	obl
7	antidisturbio	ADJ	6	amod
8	pesado	ADJ	6	amod
9	controlaron	VERB	0	root
10	las	DET	11	det
11	calles	NOUN	9	obj
12	del	ADP	13	case
13	centro	NOUN	11	nmod
14	de	ADP	16	case
15	la	DET	16	det
16	ciudad	NOUN	13	nmod
17	,	PUNCT	22	punct
18	en	ADP	22	advmod
19	especial	ADJ	18	fixed
20	un	DET	22	det
21	amplio	ADJ	22	amod
22	perímetro	NOUN	11	appos
23	alrededor	ADV	22	advmod
24	del	ADP	25	case
25	centro	NOUN	23	obl
26	de	ADP	27	case
27	congresos	NOUN	25	nmod
28	.	PUNCT	9	punct