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:
Onega anunció que todos los ministerios implicados han creado grupos de trabajo para hacer posible la aplicación de la ley y que el Gobierno ha decidido ya habilitar los créditos y la ampliación de personal necesarios.
Postion	Tokenization
1	Onega
2	anunció
3	que
4	todos
5	los
6	ministerios
7	implicados
8	han
9	creado
10	grupos
11	de
12	trabajo
13	para
14	hacer
15	posible
16	la
17	aplicación
18	de
19	la
20	ley
21	y
22	que
23	el
24	Gobierno
25	ha
26	decidido
27	ya
28	habilitar
29	los
30	créditos
31	y
32	la
33	ampliación
34	de
35	personal
36	necesarios
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Onega	PROPN	2	nsubj
2	anunció	VERB	0	root
3	que	SCONJ	9	mark
4	todos	DET	5	det
5	los	DET	6	det
6	ministerios	NOUN	9	nsubj
7	implicados	ADJ	6	amod
8	han	AUX	9	aux
9	creado	VERB	2	ccomp
10	grupos	NOUN	9	obj
11	de	ADP	12	case
12	trabajo	NOUN	10	nmod
13	para	ADP	14	mark
14	hacer	VERB	10	acl
15	posible	ADJ	14	obj
16	la	DET	17	det
17	aplicación	NOUN	14	obj
18	de	ADP	20	case
19	la	DET	20	det
20	ley	NOUN	17	nmod
21	y	CCONJ	26	cc
22	que	SCONJ	26	mark
23	el	DET	24	det
24	Gobierno	PROPN	26	nsubj
25	ha	AUX	26	aux
26	decidido	VERB	9	conj
27	ya	ADV	26	advmod
28	habilitar	VERB	26	xcomp
29	los	DET	30	det
30	créditos	NOUN	28	obj
31	y	CCONJ	33	cc
32	la	DET	33	det
33	ampliación	NOUN	30	conj
34	de	ADP	35	case
35	personal	NOUN	33	nmod
36	necesarios	ADJ	30	amod
37	.	PUNCT	2	punct