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:
"Lo malo para Brasil es bueno para Ecuador y otros países", así expresaba hoy su optimismo el presidente de la Asociación Ecuatoriana de Exportadores de Café, Pablo Delgado.
Postion	Tokenization
1	"
2	Lo
3	malo
4	para
5	Brasil
6	es
7	bueno
8	para
9	Ecuador
10	y
11	otros
12	países
13	"
14	,
15	así
16	expresaba
17	hoy
18	su
19	optimismo
20	el
21	presidente
22	de
23	la
24	Asociación
25	Ecuatoriana
26	de
27	Exportadores
28	de
29	Café
30	,
31	Pablo
32	Delgado
33	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	7	punct
2	Lo	PRON	3	det
3	malo	ADJ	7	nsubj
4	para	ADP	5	case
5	Brasil	PROPN	3	nmod
6	es	AUX	7	cop
7	bueno	ADJ	0	root
8	para	ADP	9	case
9	Ecuador	PROPN	7	nmod
10	y	CCONJ	12	cc
11	otros	DET	12	det
12	países	NOUN	9	conj
13	"	PUNCT	7	punct
14	,	PUNCT	7	punct
15	así	ADV	16	advmod
16	expresaba	VERB	7	advcl
17	hoy	ADV	16	advmod
18	su	DET	19	det
19	optimismo	NOUN	16	obj
20	el	DET	21	det
21	presidente	NOUN	16	nsubj
22	de	ADP	24	case
23	la	DET	24	det
24	Asociación	PROPN	21	nmod
25	Ecuatoriana	PROPN	24	flat
26	de	ADP	27	case
27	Exportadores	PROPN	24	flat
28	de	ADP	29	case
29	Café	PROPN	24	flat
30	,	PUNCT	31	punct
31	Pablo	PROPN	21	appos
32	Delgado	PROPN	31	flat
33	.	PUNCT	7	punct