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:
Las autoridades cafeteras colombianas calculan que cada centavo de variación en el precio del café representa al país unos ingresos mayores o menores de cerca de 17 millones de dólares al año.
Postion	Tokenization
1	Las
2	autoridades
3	cafeteras
4	colombianas
5	calculan
6	que
7	cada
8	centavo
9	de
10	variación
11	en
12	el
13	precio
14	del
15	café
16	representa
17	al
18	país
19	unos
20	ingresos
21	mayores
22	o
23	menores
24	de
25	cerca
26	de
27	17
28	millones
29	de
30	dólares
31	al
32	año
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	DET	2	det
2	autoridades	NOUN	5	nsubj
3	cafeteras	ADJ	2	amod
4	colombianas	ADJ	2	amod
5	calculan	VERB	0	root
6	que	SCONJ	16	mark
7	cada	DET	8	det
8	centavo	NOUN	16	nsubj
9	de	ADP	10	case
10	variación	NOUN	8	nmod
11	en	ADP	13	case
12	el	DET	13	det
13	precio	NOUN	10	nmod
14	del	ADP	15	case
15	café	NOUN	13	nmod
16	representa	VERB	5	ccomp
17	al	ADP	18	case
18	país	NOUN	16	obl
19	unos	DET	20	det
20	ingresos	NOUN	16	obj
21	mayores	ADJ	20	amod
22	o	CCONJ	23	cc
23	menores	ADJ	21	conj
24	de	ADP	28	case
25	cerca	ADV	28	advmod
26	de	ADP	25	case
27	17	NUM	25	nummod
28	millones	NOUN	20	nmod
29	de	ADP	30	case
30	dólares	NOUN	28	nmod
31	al	ADP	32	case
32	año	NOUN	28	nmod
33	.	PUNCT	5	punct