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 actos vandálicos en la vía pública se mantienen con un ligero incremento y ya representan la mitad de los incendios que se producen en la ciudad.
Postion	Tokenization
1	Los
2	actos
3	vandálicos
4	en
5	la
6	vía
7	pública
8	se
9	mantienen
10	con
11	un
12	ligero
13	incremento
14	y
15	ya
16	representan
17	la
18	mitad
19	de
20	los
21	incendios
22	que
23	se
24	producen
25	en
26	la
27	ciudad
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	2	det
2	actos	NOUN	9	nsubj
3	vandálicos	ADJ	2	amod
4	en	ADP	6	case
5	la	DET	6	det
6	vía	NOUN	2	nmod
7	pública	ADJ	6	amod
8	se	PRON	9	expl:pv
9	mantienen	VERB	0	root
10	con	ADP	13	case
11	un	DET	13	det
12	ligero	ADJ	13	amod
13	incremento	NOUN	9	obl
14	y	CCONJ	16	cc
15	ya	ADV	16	advmod
16	representan	VERB	9	conj
17	la	DET	18	det
18	mitad	NOUN	16	obj
19	de	ADP	21	case
20	los	DET	21	det
21	incendios	NOUN	18	nmod
22	que	PRON	24	nsubj
23	se	PRON	24	expl:pv
24	producen	VERB	21	acl
25	en	ADP	27	case
26	la	DET	27	det
27	ciudad	NOUN	24	obl
28	.	PUNCT	9	punct