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:
También un día después de que se registraran los peores disturbios acontecidos en Guatemala en los últimos cinco años, que se saldaron con cinco muertos, más de 15 heridos y al menos 130 detenidos.
Postion	Tokenization
1	También
2	un
3	día
4	después
5	de
6	que
7	se
8	registraran
9	los
10	peores
11	disturbios
12	acontecidos
13	en
14	Guatemala
15	en
16	los
17	últimos
18	cinco
19	años
20	,
21	que
22	se
23	saldaron
24	con
25	cinco
26	muertos
27	,
28	más
29	de
30	15
31	heridos
32	y
33	al
34	menos
35	130
36	detenidos
37	.
Position	Tokenization	UPOS	Head	Deprel
1	También	ADV	0	root
2	un	DET	3	det
3	día	NOUN	4	obl
4	después	ADV	1	advmod
5	de	ADP	8	mark
6	que	SCONJ	8	mark
7	se	PRON	8	expl:pass
8	registraran	VERB	4	advcl
9	los	DET	11	det
10	peores	ADJ	11	amod
11	disturbios	NOUN	8	nsubj
12	acontecidos	ADJ	11	amod
13	en	ADP	14	case
14	Guatemala	PROPN	12	obl
15	en	ADP	19	case
16	los	DET	19	det
17	últimos	ADJ	16	amod
18	cinco	NUM	16	nummod
19	años	NOUN	12	obl
20	,	PUNCT	23	punct
21	que	PRON	23	nsubj
22	se	PRON	23	expl:pass
23	saldaron	VERB	11	acl
24	con	ADP	26	case
25	cinco	NUM	26	nummod
26	muertos	NOUN	23	obl
27	,	PUNCT	31	punct
28	más	ADV	31	advmod
29	de	ADP	28	case
30	15	NUM	28	nummod
31	heridos	NOUN	26	appos
32	y	CCONJ	36	cc
33	al	ADP	36	advmod
34	menos	ADV	33	fixed
35	130	NUM	36	nummod
36	detenidos	NOUN	26	conj
37	.	PUNCT	1	punct