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 productor y exportador mundial de café tras Brasil, producirá en el actual año civil cerca de 11,5 millones de sacas de 60 kilos y en el año cafetero cerca de 9,5 millones, según el gerente de la Federación de Cafeteros de Colombia, Jorge Cárdenas.
Postion	Tokenization
1	Colombia
2	,
3	segundo
4	productor
5	y
6	exportador
7	mundial
8	de
9	café
10	tras
11	Brasil
12	,
13	producirá
14	en
15	el
16	actual
17	año
18	civil
19	cerca
20	de
21	11,5
22	millones
23	de
24	sacas
25	de
26	60
27	kilos
28	y
29	en
30	el
31	año
32	cafetero
33	cerca
34	de
35	9,5
36	millones
37	,
38	según
39	el
40	gerente
41	de
42	la
43	Federación
44	de
45	Cafeteros
46	de
47	Colombia
48	,
49	Jorge
50	Cárdenas
51	.
Position	Tokenization	UPOS	Head	Deprel
1	Colombia	PROPN	13	nsubj
2	,	PUNCT	4	punct
3	segundo	ADJ	4	amod
4	productor	NOUN	1	appos
5	y	CCONJ	6	cc
6	exportador	NOUN	4	conj
7	mundial	ADJ	4	amod
8	de	ADP	9	case
9	café	NOUN	4	nmod
10	tras	ADP	11	case
11	Brasil	PROPN	4	nmod
12	,	PUNCT	4	punct
13	producirá	VERB	0	root
14	en	ADP	17	case
15	el	DET	17	det
16	actual	ADJ	17	amod
17	año	NOUN	13	obl
18	civil	ADJ	17	amod
19	cerca	ADV	22	advmod
20	de	ADP	19	case
21	11,5	NUM	19	nummod
22	millones	NOUN	13	obj
23	de	ADP	24	case
24	sacas	NOUN	22	nmod
25	de	ADP	27	case
26	60	NUM	27	nummod
27	kilos	NOUN	24	nmod
28	y	CCONJ	36	cc
29	en	ADP	31	case
30	el	DET	31	det
31	año	NOUN	36	nmod
32	cafetero	ADJ	31	amod
33	cerca	ADV	36	advmod
34	de	ADP	33	case
35	9,5	NUM	33	nummod
36	millones	NOUN	13	conj
37	,	PUNCT	40	punct
38	según	ADP	40	case
39	el	DET	40	det
40	gerente	NOUN	36	nmod
41	de	ADP	43	case
42	la	DET	43	det
43	Federación	PROPN	40	nmod
44	de	ADP	45	case
45	Cafeteros	PROPN	43	flat
46	de	ADP	47	case
47	Colombia	PROPN	43	flat
48	,	PUNCT	49	punct
49	Jorge	PROPN	40	appos
50	Cárdenas	PROPN	49	flat
51	.	PUNCT	13	punct