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 Audiencia Nacional investigará la querella de la premio Nobel de la Paz Rigoberta Menchú por el exterminio del pueblo maya durante la dictadura en Guatemala.
Postion	Tokenization
1	La
2	Audiencia
3	Nacional
4	investigará
5	la
6	querella
7	de
8	la
9	premio
10	Nobel
11	de
12	la
13	Paz
14	Rigoberta
15	Menchú
16	por
17	el
18	exterminio
19	del
20	pueblo
21	maya
22	durante
23	la
24	dictadura
25	en
26	Guatemala
27	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Audiencia	PROPN	4	nsubj
3	Nacional	PROPN	2	flat
4	investigará	VERB	0	root
5	la	DET	6	det
6	querella	NOUN	4	obj
7	de	ADP	9	case
8	la	DET	9	det
9	premio	NOUN	6	nmod
10	Nobel	PROPN	9	appos
11	de	ADP	13	case
12	la	DET	13	det
13	Paz	PROPN	10	flat
14	Rigoberta	PROPN	9	appos
15	Menchú	PROPN	14	flat
16	por	ADP	18	case
17	el	DET	18	det
18	exterminio	NOUN	6	nmod
19	del	ADP	20	case
20	pueblo	NOUN	18	nmod
21	maya	ADJ	20	amod
22	durante	ADP	24	case
23	la	DET	24	det
24	dictadura	NOUN	18	nmod
25	en	ADP	26	case
26	Guatemala	PROPN	24	nmod
27	.	PUNCT	4	punct