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:
"Por ejemplo, la tarjeta de crédito Visa será la única que podrá usarse en el Complejo Olímpico y los visitantes que no la tengan deberán llevar dinero en efectivo para evitarse problemas", precisó Kennedy.
Postion	Tokenization
1	"
2	Por
3	ejemplo
4	,
5	la
6	tarjeta
7	de
8	crédito
9	Visa
10	será
11	la
12	única
13	que
14	podrá
15	usarse
16	usar
17	se
18	en
19	el
20	Complejo
21	Olímpico
22	y
23	los
24	visitantes
25	que
26	no
27	la
28	tengan
29	deberán
30	llevar
31	dinero
32	en
33	efectivo
34	para
35	evitarse
36	evitar
37	se
38	problemas
39	"
40	,
41	precisó
42	Kennedy
43	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	10	punct
2	Por	ADP	10	advmod
3	ejemplo	NOUN	2	fixed
4	,	PUNCT	2	punct
5	la	DET	6	det
6	tarjeta	NOUN	10	nsubj
7	de	ADP	8	case
8	crédito	NOUN	6	nmod
9	Visa	PROPN	6	appos
10	será	AUX	39	ccomp
11	la	DET	15	det
12	única	ADJ	15	amod
13	que	PRON	15	nsubj
14	podrá	AUX	15	aux
15	usarse	_	None	_
16	usar	VERB	10	ccomp
17	se	PRON	15	expl:pass
18	en	ADP	19	case
19	el	DET	19	det
20	Complejo	PROPN	15	obl
21	Olímpico	PROPN	19	flat
22	y	CCONJ	29	cc
23	los	DET	23	det
24	visitantes	NOUN	29	nsubj
25	que	PRON	27	nsubj
26	no	ADV	27	advmod
27	la	PRON	27	obj
28	tengan	VERB	23	acl
29	deberán	AUX	29	aux
30	llevar	VERB	10	conj
31	dinero	NOUN	29	obj
32	en	ADP	32	case
33	efectivo	NOUN	30	nmod
34	para	ADP	34	mark
35	evitarse	_	None	_
36	evitar	VERB	29	advcl
37	se	PRON	34	expl:pass
38	problemas	NOUN	34	obj
39	"	PUNCT	10	punct
40	,	PUNCT	10	punct
41	precisó	VERB	0	root
42	Kennedy	PROPN	39	nsubj
43	.	PUNCT	39	punct