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:
para Banzer, "es fundamental que en una economía abierta no se cierren los mercados con medidas discriminatorias, y criterios proteccionistas".
Postion	Tokenization
1	para
2	Banzer
3	,
4	"
5	es
6	fundamental
7	que
8	en
9	una
10	economía
11	abierta
12	no
13	se
14	cierren
15	los
16	mercados
17	con
18	medidas
19	discriminatorias
20	,
21	y
22	criterios
23	proteccionistas
24	"
25	.
Position	Tokenization	UPOS	Head	Deprel
1	para	ADP	2	case
2	Banzer	PROPN	6	obl
3	,	PUNCT	2	punct
4	"	PUNCT	6	punct
5	es	AUX	6	cop
6	fundamental	ADJ	0	root
7	que	SCONJ	14	mark
8	en	ADP	10	case
9	una	DET	10	det
10	economía	NOUN	14	obl
11	abierta	ADJ	10	amod
12	no	ADV	14	advmod
13	se	PRON	14	expl:pass
14	cierren	VERB	6	csubj
15	los	DET	16	det
16	mercados	NOUN	14	nsubj
17	con	ADP	18	case
18	medidas	NOUN	14	obl
19	discriminatorias	ADJ	18	amod
20	,	PUNCT	22	punct
21	y	CCONJ	22	cc
22	criterios	NOUN	18	conj
23	proteccionistas	ADJ	22	amod
24	"	PUNCT	6	punct
25	.	PUNCT	6	punct