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 productores de café de Costa Rica también se mostraron optimistas hoy por el aumento del precio del grano en el mercado internacional como consecuencia de las heladas en las plantaciones brasileñas.
Postion	Tokenization
1	Los
2	productores
3	de
4	café
5	de
6	Costa
7	Rica
8	también
9	se
10	mostraron
11	optimistas
12	hoy
13	por
14	el
15	aumento
16	del
17	precio
18	del
19	grano
20	en
21	el
22	mercado
23	internacional
24	como
25	consecuencia
26	de
27	las
28	heladas
29	en
30	las
31	plantaciones
32	brasileñas
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	productores	NOUN	10	nsubj
3	de	ADP	4	case
4	café	NOUN	2	nmod
5	de	ADP	6	case
6	Costa	PROPN	4	nmod
7	Rica	PROPN	6	flat
8	también	ADV	10	advmod
9	se	PRON	10	expl:pv
10	mostraron	VERB	0	root
11	optimistas	ADJ	10	obj
12	hoy	ADV	10	advmod
13	por	ADP	15	case
14	el	DET	15	det
15	aumento	NOUN	10	obl
16	del	ADP	17	case
17	precio	NOUN	15	nmod
18	del	ADP	19	case
19	grano	NOUN	17	nmod
20	en	ADP	22	case
21	el	DET	22	det
22	mercado	NOUN	15	nmod
23	internacional	ADJ	22	amod
24	como	SCONJ	28	case
25	consecuencia	NOUN	24	fixed
26	de	ADP	24	fixed
27	las	DET	28	det
28	heladas	NOUN	15	nmod
29	en	ADP	31	case
30	las	DET	31	det
31	plantaciones	NOUN	28	nmod
32	brasileñas	ADJ	31	amod
33	.	PUNCT	10	punct