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:
Otra oleada de protestas proviene de los ayuntamientos, sobre todo los del cinturón de la Biblia, los pueblos protestantes de las zonas agrícolas.
Postion	Tokenization
1	Otra
2	oleada
3	de
4	protestas
5	proviene
6	de
7	los
8	ayuntamientos
9	,
10	sobre
11	todo
12	los
13	del
14	cinturón
15	de
16	la
17	Biblia
18	,
19	los
20	pueblos
21	protestantes
22	de
23	las
24	zonas
25	agrícolas
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Otra	DET	2	det
2	oleada	NOUN	5	nsubj
3	de	ADP	4	case
4	protestas	NOUN	2	nmod
5	proviene	VERB	0	root
6	de	ADP	8	case
7	los	DET	8	det
8	ayuntamientos	NOUN	5	obj
9	,	PUNCT	10	punct
10	sobre	ADP	8	appos
11	todo	PRON	10	fixed
12	los	DET	10	det
13	del	ADP	10	case
14	cinturón	NOUN	10	nmod
15	de	ADP	17	case
16	la	DET	17	det
17	Biblia	PROPN	14	nmod
18	,	PUNCT	20	punct
19	los	DET	20	det
20	pueblos	NOUN	10	nmod
21	protestantes	ADJ	20	amod
22	de	ADP	24	case
23	las	DET	24	det
24	zonas	NOUN	20	nmod
25	agrícolas	ADJ	24	amod
26	.	PUNCT	5	punct