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:
Fue controlado la madrugada de ayer después de amenazar a cuatro pueblos y arrasar unas mil hectáreas de pasto, matorral y monte bajo.
Postion	Tokenization
1	Fue
2	controlado
3	la
4	madrugada
5	de
6	ayer
7	después
8	de
9	amenazar
10	a
11	cuatro
12	pueblos
13	y
14	arrasar
15	unas
16	mil
17	hectáreas
18	de
19	pasto
20	,
21	matorral
22	y
23	monte
24	bajo
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Fue	AUX	2	aux
2	controlado	VERB	0	root
3	la	DET	4	det
4	madrugada	NOUN	2	obl
5	de	ADP	6	case
6	ayer	ADV	4	advmod
7	después	ADV	2	advmod
8	de	ADP	9	mark
9	amenazar	VERB	7	advcl
10	a	ADP	12	case
11	cuatro	NUM	12	nummod
12	pueblos	NOUN	9	obj
13	y	CCONJ	14	cc
14	arrasar	VERB	9	conj
15	unas	DET	17	det
16	mil	NUM	15	nummod
17	hectáreas	NOUN	14	obj
18	de	ADP	19	case
19	pasto	NOUN	17	nmod
20	,	PUNCT	21	punct
21	matorral	NOUN	19	conj
22	y	CCONJ	23	cc
23	monte	NOUN	19	conj
24	bajo	ADJ	23	amod
25	.	PUNCT	2	punct