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:
La funcionaria de la Asociación Nacional para la Defensa del Arte Aborigen (NIAA), Glenda Humes, explicó a EFE que muchos turistas pagarán cantidades desorbitadas por productos aborígenes falsificados durante las Olimpiadas.
Postion	Tokenization
1	La
2	funcionaria
3	de
4	la
5	Asociación
6	Nacional
7	para
8	la
9	Defensa
10	del
11	Arte
12	Aborigen
13	(
14	NIAA
15	)
16	,
17	Glenda
18	Humes
19	,
20	explicó
21	a
22	EFE
23	que
24	muchos
25	turistas
26	pagarán
27	cantidades
28	desorbitadas
29	por
30	productos
31	aborígenes
32	falsificados
33	durante
34	las
35	Olimpiadas
36	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	funcionaria	NOUN	20	nsubj
3	de	ADP	5	case
4	la	DET	5	det
5	Asociación	PROPN	2	nmod
6	Nacional	PROPN	5	flat
7	para	ADP	9	case
8	la	DET	9	det
9	Defensa	PROPN	5	flat
10	del	ADP	11	case
11	Arte	PROPN	5	flat
12	Aborigen	PROPN	5	flat
13	(	PUNCT	14	punct
14	NIAA	PROPN	5	flat
15	)	PUNCT	14	punct
16	,	PUNCT	17	punct
17	Glenda	PROPN	2	appos
18	Humes	PROPN	17	flat
19	,	PUNCT	17	punct
20	explicó	VERB	0	root
21	a	ADP	22	case
22	EFE	PROPN	20	iobj
23	que	SCONJ	26	mark
24	muchos	DET	25	det
25	turistas	NOUN	26	nsubj
26	pagarán	VERB	20	ccomp
27	cantidades	NOUN	26	obj
28	desorbitadas	ADJ	27	amod
29	por	ADP	30	case
30	productos	NOUN	26	obj
31	aborígenes	ADJ	30	amod
32	falsificados	ADJ	30	amod
33	durante	ADP	35	case
34	las	DET	35	det
35	Olimpiadas	PROPN	32	obl
36	.	PUNCT	20	punct