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:
En esa línea indicó que la reducción de la cosecha brasileña, entre 3 y 5 millones de sacos (60 kilos), incrementará los ingresos de cerca de 350.000 familias campesinas colombianas que viven del producto.
Postion	Tokenization
1	En
2	esa
3	línea
4	indicó
5	que
6	la
7	reducción
8	de
9	la
10	cosecha
11	brasileña
12	,
13	entre
14	3
15	y
16	5
17	millones
18	de
19	sacos
20	(
21	60
22	kilos
23	)
24	,
25	incrementará
26	los
27	ingresos
28	de
29	cerca
30	de
31	350.000
32	familias
33	campesinas
34	colombianas
35	que
36	viven
37	del
38	producto
39	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	3	case
2	esa	DET	3	det
3	línea	NOUN	4	obl
4	indicó	VERB	0	root
5	que	SCONJ	25	mark
6	la	DET	7	det
7	reducción	NOUN	25	nsubj
8	de	ADP	10	case
9	la	DET	10	det
10	cosecha	NOUN	7	nmod
11	brasileña	ADJ	10	amod
12	,	PUNCT	17	punct
13	entre	ADP	14	case
14	3	NUM	17	nummod
15	y	CCONJ	16	cc
16	5	NUM	14	conj
17	millones	NOUN	7	appos
18	de	ADP	19	case
19	sacos	NOUN	17	nmod
20	(	PUNCT	22	punct
21	60	NUM	22	nummod
22	kilos	NOUN	17	appos
23	)	PUNCT	22	punct
24	,	PUNCT	17	punct
25	incrementará	VERB	4	ccomp
26	los	DET	27	det
27	ingresos	NOUN	25	obj
28	de	ADP	32	case
29	cerca	ADV	32	advmod
30	de	ADP	29	case
31	350.000	NUM	29	nummod
32	familias	NOUN	27	nmod
33	campesinas	ADJ	32	amod
34	colombianas	ADJ	32	amod
35	que	PRON	36	nsubj
36	viven	VERB	32	acl
37	del	ADP	38	case
38	producto	NOUN	36	obl
39	.	PUNCT	4	punct