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:
Las exportaciones brasileñas de café cayeron en casi un 30 por ciento entre febrero de 1999 y el mes pasado, según un boletín del Consejo de los Exportadores de Café Verde de Brasil (Cecafé).
Postion	Tokenization
1	Las
2	exportaciones
3	brasileñas
4	de
5	café
6	cayeron
7	en
8	casi
9	un
10	30
11	por
12	ciento
13	entre
14	febrero
15	de
16	1999
17	y
18	el
19	mes
20	pasado
21	,
22	según
23	un
24	boletín
25	del
26	Consejo
27	de
28	los
29	Exportadores
30	de
31	Café
32	Verde
33	de
34	Brasil
35	(
36	Cecafé
37	)
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	exportaciones	NOUN	6	nsubj
3	brasileñas	ADJ	2	amod
4	de	ADP	5	case
5	café	NOUN	2	nmod
6	cayeron	VERB	0	root
7	en	ADP	10	case
8	casi	ADV	10	advmod
9	un	DET	10	det
10	30	NUM	6	obl
11	por	ADP	12	case
12	ciento	NUM	10	compound
13	entre	ADP	14	case
14	febrero	NOUN	6	obl
15	de	ADP	16	case
16	1999	NUM	14	compound
17	y	CCONJ	19	cc
18	el	DET	19	det
19	mes	NOUN	14	conj
20	pasado	ADJ	19	amod
21	,	PUNCT	24	punct
22	según	ADP	24	case
23	un	DET	24	det
24	boletín	NOUN	6	obl
25	del	ADP	26	case
26	Consejo	PROPN	24	nmod
27	de	ADP	29	case
28	los	DET	29	det
29	Exportadores	PROPN	26	flat
30	de	ADP	31	case
31	Café	PROPN	26	flat
32	Verde	PROPN	31	flat
33	de	ADP	34	case
34	Brasil	PROPN	31	flat
35	(	PUNCT	36	punct
36	Cecafé	PROPN	26	flat
37	)	PUNCT	36	punct
38	.	PUNCT	6	punct