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:
Brasil calculaba para 2001 una cosecha de más de 35 millones de sacas de 60 kilos, de las que tenía programado retener 5 millones.
Postion	Tokenization
1	Brasil
2	calculaba
3	para
4	2001
5	una
6	cosecha
7	de
8	más
9	de
10	35
11	millones
12	de
13	sacas
14	de
15	60
16	kilos
17	,
18	de
19	las
20	que
21	tenía
22	programado
23	retener
24	5
25	millones
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Brasil	PROPN	2	nsubj
2	calculaba	VERB	0	root
3	para	ADP	4	case
4	2001	NOUN	2	obl
5	una	DET	6	det
6	cosecha	NOUN	2	obj
7	de	ADP	11	case
8	más	ADV	11	advmod
9	de	ADP	8	case
10	35	NUM	8	nummod
11	millones	NOUN	6	nmod
12	de	ADP	13	case
13	sacas	NOUN	11	nmod
14	de	ADP	16	case
15	60	NUM	16	nummod
16	kilos	NOUN	13	nmod
17	,	PUNCT	21	punct
18	de	ADP	20	case
19	las	DET	20	det
20	que	PRON	21	iobj
21	tenía	VERB	13	acl
22	programado	ADJ	21	iobj
23	retener	VERB	21	xcomp
24	5	NUM	25	nummod
25	millones	NOUN	23	obj
26	.	PUNCT	2	punct