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:
Literatura lustral para las tristezas de todos los Medardos Fraile, conocidos o ignotos, que caminan hacia Dios sabe qué reinos de figurones.
Postion	Tokenization
1	Literatura
2	lustral
3	para
4	las
5	tristezas
6	de
7	todos
8	los
9	Medardos
10	Fraile
11	,
12	conocidos
13	o
14	ignotos
15	,
16	que
17	caminan
18	hacia
19	Dios
20	sabe
21	qué
22	reinos
23	de
24	figurones
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Literatura	NOUN	0	root
2	lustral	ADJ	1	amod
3	para	ADP	5	case
4	las	DET	5	det
5	tristezas	NOUN	1	nmod
6	de	ADP	9	case
7	todos	DET	8	det
8	los	DET	9	det
9	Medardos	PROPN	5	nmod
10	Fraile	PROPN	9	flat
11	,	PUNCT	12	punct
12	conocidos	ADJ	9	amod
13	o	CCONJ	14	cc
14	ignotos	ADJ	12	conj
15	,	PUNCT	12	punct
16	que	PRON	17	nsubj
17	caminan	VERB	9	acl
18	hacia	ADP	22	case
19	Dios	DET	22	det
20	sabe	DET	19	compound
21	qué	DET	19	compound
22	reinos	NOUN	17	obl
23	de	ADP	24	case
24	figurones	NOUN	22	nmod
25	.	PUNCT	1	punct