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 la última semana, el mercado internacional del grano ha registrado súbitas alzas y bajas, consecuencia de la precaria información que se tiene sobre los daños reales ocasionados en las plantaciones de Brasil, en especial en las del Estado de Minas Gerais, que produce cerca de la mitad del café de este país.
Postion	Tokenization
1	En
2	la
3	última
4	semana
5	,
6	el
7	mercado
8	internacional
9	del
10	grano
11	ha
12	registrado
13	súbitas
14	alzas
15	y
16	bajas
17	,
18	consecuencia
19	de
20	la
21	precaria
22	información
23	que
24	se
25	tiene
26	sobre
27	los
28	daños
29	reales
30	ocasionados
31	en
32	las
33	plantaciones
34	de
35	Brasil
36	,
37	en
38	especial
39	en
40	las
41	del
42	Estado
43	de
44	Minas
45	Gerais
46	,
47	que
48	produce
49	cerca
50	de
51	la
52	mitad
53	del
54	café
55	de
56	este
57	país
58	.
Position	Tokenization	UPOS	Head	Deprel
1	En	ADP	4	case
2	la	DET	4	det
3	última	ADJ	4	amod
4	semana	NOUN	12	obl
5	,	PUNCT	4	punct
6	el	DET	7	det
7	mercado	NOUN	12	nsubj
8	internacional	ADJ	7	amod
9	del	ADP	10	case
10	grano	NOUN	7	nmod
11	ha	AUX	12	aux
12	registrado	VERB	0	root
13	súbitas	ADJ	14	amod
14	alzas	NOUN	12	obj
15	y	CCONJ	16	cc
16	bajas	NOUN	14	conj
17	,	PUNCT	18	punct
18	consecuencia	NOUN	14	appos
19	de	ADP	22	case
20	la	DET	22	det
21	precaria	ADJ	22	amod
22	información	NOUN	18	nmod
23	que	PRON	25	obj
24	se	PRON	25	expl:pass
25	tiene	VERB	22	acl
26	sobre	ADP	28	case
27	los	DET	28	det
28	daños	NOUN	25	obl
29	reales	ADJ	28	amod
30	ocasionados	ADJ	28	amod
31	en	ADP	33	case
32	las	DET	33	det
33	plantaciones	NOUN	30	obl
34	de	ADP	35	case
35	Brasil	PROPN	33	nmod
36	,	PUNCT	37	punct
37	en	ADP	33	advmod
38	especial	ADJ	37	fixed
39	en	ADP	37	case
40	las	DET	37	det
41	del	ADP	40	case
42	Estado	PROPN	40	nmod
43	de	ADP	44	case
44	Minas	PROPN	42	flat
45	Gerais	PROPN	44	flat
46	,	PUNCT	48	punct
47	que	PRON	48	nsubj
48	produce	VERB	42	acl
49	cerca	ADV	52	advmod
50	de	ADP	52	case
51	la	DET	52	det
52	mitad	NOUN	54	nmod
53	del	ADP	52	case
54	café	NOUN	48	obj
55	de	ADP	57	case
56	este	DET	57	det
57	país	NOUN	54	nmod
58	.	PUNCT	12	punct