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:
Recordó que en Ecuador hay 500.000 pequeños empresarios, actividad de la que dependen unas seis millones de personas, aproximadamente la mitad de la población de esta nación andina.
Postion	Tokenization
1	Recordó
2	que
3	en
4	Ecuador
5	hay
6	500.000
7	pequeños
8	empresarios
9	,
10	actividad
11	de
12	la
13	que
14	dependen
15	unas
16	seis
17	millones
18	de
19	personas
20	,
21	aproximadamente
22	la
23	mitad
24	de
25	la
26	población
27	de
28	esta
29	nación
30	andina
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Recordó	VERB	0	root
2	que	SCONJ	5	mark
3	en	ADP	4	case
4	Ecuador	PROPN	5	obl
5	hay	AUX	1	ccomp
6	500.000	NUM	8	nummod
7	pequeños	ADJ	8	amod
8	empresarios	NOUN	5	obj
9	,	PUNCT	10	punct
10	actividad	NOUN	8	appos
11	de	ADP	13	case
12	la	DET	13	det
13	que	PRON	14	obj
14	dependen	VERB	10	acl
15	unas	PRON	16	nmod
16	seis	NUM	17	nummod
17	millones	NOUN	14	nsubj
18	de	ADP	19	case
19	personas	NOUN	17	nmod
20	,	PUNCT	23	punct
21	aproximadamente	ADV	23	advmod
22	la	DET	23	det
23	mitad	NOUN	17	appos
24	de	ADP	26	case
25	la	DET	26	det
26	población	NOUN	23	nmod
27	de	ADP	29	case
28	esta	DET	29	det
29	nación	NOUN	26	nmod
30	andina	ADJ	29	amod
31	.	PUNCT	1	punct