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 decisión prohíbe a las agencias gubernamentales el uso de cualquier tipo de información genética a la hora de decidir contrataciones, despidos o ascensos, anunció Clinton durante una intervención ante la Asociación para el Avance de la Ciencia, en Washington.
Postion	Tokenization
1	La
2	decisión
3	prohíbe
4	a
5	las
6	agencias
7	gubernamentales
8	el
9	uso
10	de
11	cualquier
12	tipo
13	de
14	información
15	genética
16	a
17	la
18	hora
19	de
20	decidir
21	contrataciones
22	,
23	despidos
24	o
25	ascensos
26	,
27	anunció
28	Clinton
29	durante
30	una
31	intervención
32	ante
33	la
34	Asociación
35	para
36	el
37	Avance
38	de
39	la
40	Ciencia
41	,
42	en
43	Washington
44	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	decisión	NOUN	3	nsubj
3	prohíbe	VERB	27	ccomp
4	a	ADP	6	case
5	las	DET	6	det
6	agencias	NOUN	3	obj
7	gubernamentales	ADJ	6	amod
8	el	DET	9	det
9	uso	NOUN	3	obj
10	de	ADP	12	case
11	cualquier	DET	12	det
12	tipo	NOUN	9	nmod
13	de	ADP	14	case
14	información	NOUN	12	nmod
15	genética	ADJ	14	amod
16	a	ADP	20	mark
17	la	DET	16	fixed
18	hora	NOUN	16	fixed
19	de	ADP	16	fixed
20	decidir	VERB	3	advcl
21	contrataciones	NOUN	20	obj
22	,	PUNCT	23	punct
23	despidos	NOUN	21	conj
24	o	CCONJ	25	cc
25	ascensos	NOUN	21	conj
26	,	PUNCT	3	punct
27	anunció	VERB	0	root
28	Clinton	PROPN	27	nsubj
29	durante	ADP	31	case
30	una	DET	31	det
31	intervención	NOUN	27	obl
32	ante	ADP	34	case
33	la	DET	34	det
34	Asociación	PROPN	31	nmod
35	para	ADP	37	case
36	el	DET	37	det
37	Avance	PROPN	34	flat
38	de	ADP	40	case
39	la	DET	40	det
40	Ciencia	PROPN	34	flat
41	,	PUNCT	43	punct
42	en	ADP	43	case
43	Washington	PROPN	31	nmod
44	.	PUNCT	27	punct