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:
Los mayas creen que el agua y el fuego son dioses y el rayo su más elocuente y eficaz agente de relaciones públicas.
Postion	Tokenization
1	Los
2	mayas
3	creen
4	que
5	el
6	agua
7	y
8	el
9	fuego
10	son
11	dioses
12	y
13	el
14	rayo
15	su
16	más
17	elocuente
18	y
19	eficaz
20	agente
21	de
22	relaciones
23	públicas
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	mayas	NOUN	3	nsubj
3	creen	VERB	0	root
4	que	SCONJ	11	mark
5	el	DET	6	det
6	agua	NOUN	11	nsubj
7	y	CCONJ	9	cc
8	el	DET	9	det
9	fuego	NOUN	6	conj
10	son	AUX	11	cop
11	dioses	NOUN	3	ccomp
12	y	CCONJ	14	cc
13	el	DET	14	det
14	rayo	NOUN	11	conj
15	su	DET	20	det
16	más	ADV	17	advmod
17	elocuente	ADJ	20	amod
18	y	CCONJ	19	cc
19	eficaz	ADJ	17	conj
20	agente	NOUN	14	appos
21	de	ADP	22	case
22	relaciones	NOUN	20	nmod
23	públicas	ADJ	22	amod
24	.	PUNCT	3	punct