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 colocó el año pasado en el exterior un total de 21.048.904 millones de sacas del grano, según los datos de Cecafé.
Postion	Tokenization
1	Brasil
2	colocó
3	el
4	año
5	pasado
6	en
7	el
8	exterior
9	un
10	total
11	de
12	21.048.904
13	millones
14	de
15	sacas
16	del
17	grano
18	,
19	según
20	los
21	datos
22	de
23	Cecafé
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Brasil	PROPN	2	nsubj
2	colocó	VERB	0	root
3	el	DET	4	det
4	año	NOUN	2	obl
5	pasado	ADJ	4	amod
6	en	ADP	8	case
7	el	DET	8	det
8	exterior	NOUN	2	obl
9	un	DET	10	det
10	total	ADJ	2	obj
11	de	ADP	13	case
12	21.048.904	NUM	13	nummod
13	millones	NOUN	10	nmod
14	de	ADP	15	case
15	sacas	NOUN	13	nmod
16	del	ADP	17	case
17	grano	NOUN	15	nmod
18	,	PUNCT	21	punct
19	según	ADP	21	case
20	los	DET	21	det
21	datos	NOUN	2	obl
22	de	ADP	23	case
23	Cecafé	PROPN	21	nmod
24	.	PUNCT	2	punct