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 frentes sociales de Ecuador han decidido subir el tono de las protestas y preparan la manifestación del próximo 1 de mayo que será el inicio de un levantamiento popular contra el Gobierno.
Postion	Tokenization
1	Los
2	frentes
3	sociales
4	de
5	Ecuador
6	han
7	decidido
8	subir
9	el
10	tono
11	de
12	las
13	protestas
14	y
15	preparan
16	la
17	manifestación
18	del
19	próximo
20	1
21	de
22	mayo
23	que
24	será
25	el
26	inicio
27	de
28	un
29	levantamiento
30	popular
31	contra
32	el
33	Gobierno
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	frentes	NOUN	7	nsubj
3	sociales	ADJ	2	amod
4	de	ADP	5	case
5	Ecuador	PROPN	2	nmod
6	han	AUX	7	aux
7	decidido	VERB	0	root
8	subir	VERB	7	xcomp
9	el	DET	10	det
10	tono	NOUN	8	obj
11	de	ADP	13	case
12	las	DET	13	det
13	protestas	NOUN	10	nmod
14	y	CCONJ	15	cc
15	preparan	VERB	7	conj
16	la	DET	17	det
17	manifestación	NOUN	15	obj
18	del	ADP	20	case
19	próximo	ADJ	20	amod
20	1	NUM	17	nmod
21	de	ADP	22	case
22	mayo	NOUN	20	compound
23	que	PRON	26	nsubj
24	será	AUX	26	cop
25	el	DET	26	det
26	inicio	NOUN	17	acl
27	de	ADP	29	case
28	un	DET	29	det
29	levantamiento	NOUN	26	nmod
30	popular	ADJ	29	amod
31	contra	ADP	33	case
32	el	DET	33	det
33	Gobierno	PROPN	29	nmod
34	.	PUNCT	7	punct