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:
El tiempo apremia, ya que el texto debe aprobarse por las dos Cámaras del Parlamento y ser publicado en el BOE antes del 31 de diciembre.
Postion	Tokenization
1	El
2	tiempo
3	apremia
4	,
5	ya
6	que
7	el
8	texto
9	debe
10	aprobarse
11	aprobar
12	se
13	por
14	las
15	dos
16	Cámaras
17	del
18	Parlamento
19	y
20	ser
21	publicado
22	en
23	el
24	BOE
25	antes
26	del
27	31
28	de
29	diciembre
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	tiempo	NOUN	3	nsubj
3	apremia	VERB	0	root
4	,	PUNCT	10	punct
5	ya	ADV	10	mark
6	que	SCONJ	5	fixed
7	el	DET	8	det
8	texto	NOUN	10	nsubj
9	debe	AUX	10	aux
10	aprobarse	_	None	_
11	aprobar	VERB	3	advcl
12	se	PRON	10	expl:pass
13	por	ADP	15	case
14	las	DET	15	det
15	dos	NUM	13	nummod
16	Cámaras	PROPN	10	obj
17	del	ADP	17	case
18	Parlamento	PROPN	15	nmod
19	y	CCONJ	20	cc
20	ser	AUX	20	aux
21	publicado	VERB	10	conj
22	en	ADP	23	case
23	el	DET	23	det
24	BOE	PROPN	20	obl
25	antes	ADV	20	advmod
26	del	ADP	26	case
27	31	NUM	24	obl
28	de	ADP	28	case
29	diciembre	NOUN	26	compound
30	.	PUNCT	3	punct