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:
La noche del martes, unos 2.000 manifestantes radicales se hicieron con el control de los cruces de las calles alrededor del centro de congresos para impedir el acceso de las autoridades a la conferencia de la OMC.
Postion	Tokenization
1	La
2	noche
3	del
4	martes
5	,
6	unos
7	2.000
8	manifestantes
9	radicales
10	se
11	hicieron
12	con
13	el
14	control
15	de
16	los
17	cruces
18	de
19	las
20	calles
21	alrededor
22	del
23	centro
24	de
25	congresos
26	para
27	impedir
28	el
29	acceso
30	de
31	las
32	autoridades
33	a
34	la
35	conferencia
36	de
37	la
38	OMC
39	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	noche	NOUN	11	obl
3	del	ADP	4	case
4	martes	NOUN	2	nmod
5	,	PUNCT	2	punct
6	unos	DET	7	det
7	2.000	NOUN	8	nmod
8	manifestantes	NOUN	11	nsubj
9	radicales	ADJ	8	amod
10	se	PRON	11	expl:pv
11	hicieron	VERB	0	root
12	con	ADP	14	case
13	el	DET	14	det
14	control	NOUN	11	obj
15	de	ADP	17	case
16	los	DET	17	det
17	cruces	NOUN	14	nmod
18	de	ADP	20	case
19	las	DET	20	det
20	calles	NOUN	17	nmod
21	alrededor	ADV	17	advmod
22	del	ADP	23	case
23	centro	NOUN	21	obl
24	de	ADP	25	case
25	congresos	NOUN	23	nmod
26	para	ADP	27	mark
27	impedir	VERB	11	advcl
28	el	DET	29	det
29	acceso	NOUN	27	obj
30	de	ADP	32	case
31	las	DET	32	det
32	autoridades	NOUN	29	nmod
33	a	ADP	35	case
34	la	DET	35	det
35	conferencia	NOUN	29	nmod
36	de	ADP	38	case
37	la	DET	38	det
38	OMC	PROPN	35	nmod
39	.	PUNCT	11	punct