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:
"Este año, Ecuador no puede aspirar a exportar en café en grano más de 800.000 sacos de 60 kilos, y unos 400.000 de café industrializado", estimó Delgado.
Postion	Tokenization
1	"
2	Este
3	año
4	,
5	Ecuador
6	no
7	puede
8	aspirar
9	a
10	exportar
11	en
12	café
13	en
14	grano
15	más
16	de
17	800.000
18	sacos
19	de
20	60
21	kilos
22	,
23	y
24	unos
25	400.000
26	de
27	café
28	industrializado
29	"
30	,
31	estimó
32	Delgado
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	8	punct
2	Este	DET	3	det
3	año	NOUN	8	obl
4	,	PUNCT	3	punct
5	Ecuador	PROPN	8	nsubj
6	no	ADV	8	advmod
7	puede	AUX	8	aux
8	aspirar	VERB	31	xcomp
9	a	ADP	10	mark
10	exportar	VERB	8	xcomp
11	en	ADP	12	case
12	café	NOUN	10	obl
13	en	ADP	14	case
14	grano	NOUN	12	nmod
15	más	ADV	18	advmod
16	de	ADP	15	case
17	800.000	NUM	15	nummod
18	sacos	NOUN	10	obj
19	de	ADP	21	case
20	60	NUM	21	nummod
21	kilos	NOUN	18	nmod
22	,	PUNCT	25	punct
23	y	CCONJ	25	cc
24	unos	DET	25	det
25	400.000	NUM	18	conj
26	de	ADP	27	case
27	café	NOUN	25	nmod
28	industrializado	ADJ	27	amod
29	"	PUNCT	8	punct
30	,	PUNCT	8	punct
31	estimó	VERB	0	root
32	Delgado	PROPN	31	nsubj
33	.	PUNCT	31	punct