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:
Las hubo cuando la reforma agraria, cuando el PER, cuando qué sé yo, siempre que ha habido algo gordo, se ha ayunado voluntariamente en este pueblo.
Postion	Tokenization
1	Las
2	hubo
3	cuando
4	la
5	reforma
6	agraria
7	,
8	cuando
9	el
10	PER
11	,
12	cuando
13	qué
14	sé
15	yo
16	,
17	siempre
18	que
19	ha
20	habido
21	algo
22	gordo
23	,
24	se
25	ha
26	ayunado
27	voluntariamente
28	en
29	este
30	pueblo
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Las	PRON	2	obj
2	hubo	AUX	0	root
3	cuando	SCONJ	5	mark
4	la	DET	5	det
5	reforma	NOUN	2	obl
6	agraria	ADJ	5	amod
7	,	PUNCT	5	punct
8	cuando	SCONJ	10	mark
9	el	DET	10	det
10	PER	PROPN	5	nmod
11	,	PUNCT	5	punct
12	cuando	SCONJ	14	mark
13	qué	PRON	14	obj
14	sé	VERB	5	acl
15	yo	PRON	14	nsubj
16	,	PUNCT	2	punct
17	siempre	ADV	20	mark
18	que	SCONJ	17	fixed
19	ha	AUX	26	aux
20	habido	AUX	26	advcl
21	algo	PRON	20	obj
22	gordo	ADJ	21	amod
23	,	PUNCT	20	punct
24	se	PRON	26	expl:impers
25	ha	AUX	26	aux
26	ayunado	VERB	2	advcl
27	voluntariamente	ADV	26	advmod
28	en	ADP	30	case
29	este	DET	30	det
30	pueblo	NOUN	26	obl
31	.	PUNCT	2	punct