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:
Brasil denunció la cantidad que Canadá quiere imponer como sanción y cuestionó el procedimiento utilizado para ello, antes de que se conozcan los fallos de la nueva apelación brasileña.
Postion	Tokenization
1	Brasil
2	denunció
3	la
4	cantidad
5	que
6	Canadá
7	quiere
8	imponer
9	como
10	sanción
11	y
12	cuestionó
13	el
14	procedimiento
15	utilizado
16	para
17	ello
18	,
19	antes
20	de
21	que
22	se
23	conozcan
24	los
25	fallos
26	de
27	la
28	nueva
29	apelación
30	brasileña
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Brasil	PROPN	2	nsubj
2	denunció	VERB	0	root
3	la	DET	4	det
4	cantidad	NOUN	2	obj
5	que	PRON	7	iobj
6	Canadá	PROPN	7	nsubj
7	quiere	VERB	4	acl
8	imponer	VERB	7	xcomp
9	como	SCONJ	10	mark
10	sanción	NOUN	8	obj
11	y	CCONJ	12	cc
12	cuestionó	VERB	2	conj
13	el	DET	14	det
14	procedimiento	NOUN	12	obj
15	utilizado	ADJ	14	amod
16	para	ADP	17	case
17	ello	PRON	15	obl
18	,	PUNCT	19	punct
19	antes	ADV	2	advmod
20	de	ADP	23	mark
21	que	SCONJ	23	mark
22	se	PRON	23	expl:pass
23	conozcan	VERB	19	advcl
24	los	DET	25	det
25	fallos	NOUN	23	nsubj
26	de	ADP	29	case
27	la	DET	29	det
28	nueva	ADJ	29	amod
29	apelación	NOUN	25	nmod
30	brasileña	ADJ	29	amod
31	.	PUNCT	2	punct