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:
Los daños por las heladas que reducirán la cosecha de café en Brasil, primer productor mundial, favorecerá la producción e ingresos de sus inmediatos competidores, entre ellos Colombia y los países cafeteros centroamericanos.
Postion	Tokenization
1	Los
2	daños
3	por
4	las
5	heladas
6	que
7	reducirán
8	la
9	cosecha
10	de
11	café
12	en
13	Brasil
14	,
15	primer
16	productor
17	mundial
18	,
19	favorecerá
20	la
21	producción
22	e
23	ingresos
24	de
25	sus
26	inmediatos
27	competidores
28	,
29	entre
30	ellos
31	Colombia
32	y
33	los
34	países
35	cafeteros
36	centroamericanos
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	daños	NOUN	19	nsubj
3	por	ADP	5	case
4	las	DET	5	det
5	heladas	NOUN	2	nmod
6	que	PRON	7	nsubj
7	reducirán	VERB	5	acl
8	la	DET	9	det
9	cosecha	NOUN	7	obj
10	de	ADP	11	case
11	café	NOUN	9	nmod
12	en	ADP	13	case
13	Brasil	PROPN	9	nmod
14	,	PUNCT	16	punct
15	primer	ADJ	16	amod
16	productor	NOUN	13	appos
17	mundial	ADJ	16	amod
18	,	PUNCT	16	punct
19	favorecerá	VERB	0	root
20	la	DET	21	det
21	producción	NOUN	19	obj
22	e	CCONJ	23	cc
23	ingresos	NOUN	21	conj
24	de	ADP	27	case
25	sus	DET	27	det
26	inmediatos	ADJ	27	amod
27	competidores	NOUN	21	nmod
28	,	PUNCT	31	punct
29	entre	ADP	30	case
30	ellos	PRON	31	nmod
31	Colombia	PROPN	27	appos
32	y	CCONJ	34	cc
33	los	DET	34	det
34	países	NOUN	31	conj
35	cafeteros	ADJ	34	amod
36	centroamericanos	ADJ	34	amod
37	.	PUNCT	19	punct