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 presidente del Cabildo explicó que el frente de Tijarafe, el último activo, se reavivó ayer por la mañana cuando ya se creía apagado.
Postion	Tokenization
1	El
2	presidente
3	del
4	Cabildo
5	explicó
6	que
7	el
8	frente
9	de
10	Tijarafe
11	,
12	el
13	último
14	activo
15	,
16	se
17	reavivó
18	ayer
19	por
20	la
21	mañana
22	cuando
23	ya
24	se
25	creía
26	apagado
27	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	presidente	NOUN	5	nsubj
3	del	ADP	4	case
4	Cabildo	PROPN	2	nmod
5	explicó	VERB	0	root
6	que	SCONJ	17	mark
7	el	DET	8	det
8	frente	NOUN	17	nsubj
9	de	ADP	10	case
10	Tijarafe	PROPN	8	nmod
11	,	PUNCT	14	punct
12	el	DET	14	det
13	último	ADJ	14	amod
14	activo	NOUN	8	appos
15	,	PUNCT	14	punct
16	se	PRON	17	expl:pv
17	reavivó	VERB	5	ccomp
18	ayer	ADV	17	advmod
19	por	ADP	21	case
20	la	DET	21	det
21	mañana	NOUN	18	obl
22	cuando	SCONJ	25	mark
23	ya	ADV	25	advmod
24	se	PRON	25	expl:pass
25	creía	VERB	17	advcl
26	apagado	ADJ	25	obj
27	.	PUNCT	5	punct