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:
Colombia, segundo cultivador y exportador de café después de Brasil, calculaba exportaciones para los dos años de retención de cerca de 20 millones de sacas de 60 kilos, de los que guardará un máximo de 4 millones de sacas, que no destinará ni siquiera para consumo interno.
Postion	Tokenization
1	Colombia
2	,
3	segundo
4	cultivador
5	y
6	exportador
7	de
8	café
9	después
10	de
11	Brasil
12	,
13	calculaba
14	exportaciones
15	para
16	los
17	dos
18	años
19	de
20	retención
21	de
22	cerca
23	de
24	20
25	millones
26	de
27	sacas
28	de
29	60
30	kilos
31	,
32	de
33	los
34	que
35	guardará
36	un
37	máximo
38	de
39	4
40	millones
41	de
42	sacas
43	,
44	que
45	no
46	destinará
47	ni
48	siquiera
49	para
50	consumo
51	interno
52	.
Position	Tokenization	UPOS	Head	Deprel
1	Colombia	PROPN	13	nsubj
2	,	PUNCT	4	punct
3	segundo	ADJ	4	amod
4	cultivador	NOUN	1	appos
5	y	CCONJ	6	cc
6	exportador	NOUN	4	conj
7	de	ADP	8	case
8	café	NOUN	4	nmod
9	después	ADV	4	advmod
10	de	ADP	11	case
11	Brasil	PROPN	9	obl
12	,	PUNCT	4	punct
13	calculaba	VERB	0	root
14	exportaciones	NOUN	13	obj
15	para	ADP	18	case
16	los	DET	18	det
17	dos	NUM	16	nummod
18	años	NOUN	13	obl
19	de	ADP	20	case
20	retención	NOUN	18	nmod
21	de	ADP	25	case
22	cerca	ADV	25	advmod
23	de	ADP	22	case
24	20	NUM	22	nummod
25	millones	NOUN	13	obj
26	de	ADP	27	case
27	sacas	NOUN	25	nmod
28	de	ADP	30	case
29	60	NUM	30	nummod
30	kilos	NOUN	27	nmod
31	,	PUNCT	35	punct
32	de	ADP	34	case
33	los	DET	34	det
34	que	PRON	35	obl
35	guardará	VERB	25	acl
36	un	PRON	39	nmod
37	máximo	ADJ	39	amod
38	de	ADP	39	case
39	4	NUM	40	nummod
40	millones	NOUN	35	obj
41	de	ADP	42	case
42	sacas	NOUN	40	nmod
43	,	PUNCT	46	punct
44	que	PRON	46	obj
45	no	ADV	46	advmod
46	destinará	VERB	40	acl
47	ni	CCONJ	46	advmod
48	siquiera	NOUN	47	fixed
49	para	ADP	47	case
50	consumo	NOUN	47	nmod
51	interno	ADJ	50	amod
52	.	PUNCT	13	punct