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 el Gobierno quiere tramitar el real decreto por la vía de urgencia para que pueda ser aprobado por el Consejo de Ministros antes del 22 de febrero.
Postion	Tokenization
1	Onega
2	anunció
3	que
4	el
5	Gobierno
6	quiere
7	tramitar
8	el
9	real
10	decreto
11	por
12	la
13	vía
14	de
15	urgencia
16	para
17	que
18	pueda
19	ser
20	aprobado
21	por
22	el
23	Consejo
24	de
25	Ministros
26	antes
27	del
28	22
29	de
30	febrero
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Onega	PROPN	2	nsubj
2	anunció	VERB	0	root
3	que	SCONJ	6	mark
4	el	DET	5	det
5	Gobierno	PROPN	6	nsubj
6	quiere	VERB	2	ccomp
7	tramitar	VERB	6	xcomp
8	el	DET	9	det
9	real	NOUN	7	obj
10	decreto	NOUN	9	compound
11	por	ADP	13	case
12	la	DET	13	det
13	vía	NOUN	7	obl
14	de	ADP	15	case
15	urgencia	NOUN	13	nmod
16	para	ADP	20	mark
17	que	SCONJ	20	mark
18	pueda	AUX	20	aux
19	ser	AUX	20	aux
20	aprobado	VERB	6	advcl
21	por	ADP	23	case
22	el	DET	23	det
23	Consejo	PROPN	20	obj
24	de	ADP	25	case
25	Ministros	PROPN	23	flat
26	antes	ADV	20	advmod
27	del	ADP	28	case
28	22	NUM	26	obl
29	de	ADP	30	case
30	febrero	NOUN	28	compound
31	.	PUNCT	2	punct