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:
"No quiero cazar a nadie para poner una multa. Quiero que la gente respete la velocidad. Es nuestra única intención", dijo.
Postion	Tokenization
1	"
2	No
3	quiero
4	cazar
5	a
6	nadie
7	para
8	poner
9	una
10	multa
11	.
12	Quiero
13	que
14	la
15	gente
16	respete
17	la
18	velocidad
19	.
20	Es
21	nuestra
22	única
23	intención
24	"
25	,
26	dijo
27	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	No	ADV	3	advmod
3	quiero	VERB	26	ccomp
4	cazar	VERB	3	xcomp
5	a	ADP	6	case
6	nadie	PRON	4	obj
7	para	ADP	8	mark
8	poner	VERB	4	advcl
9	una	DET	10	det
10	multa	NOUN	8	obj
11	.	PUNCT	3	punct
12	Quiero	VERB	3	advcl
13	que	SCONJ	16	mark
14	la	DET	15	det
15	gente	NOUN	16	nsubj
16	respete	VERB	12	ccomp
17	la	DET	18	det
18	velocidad	NOUN	16	obj
19	.	PUNCT	3	punct
20	Es	AUX	23	cop
21	nuestra	DET	23	det
22	única	ADJ	23	amod
23	intención	NOUN	3	advcl
24	"	PUNCT	3	punct
25	,	PUNCT	3	punct
26	dijo	VERB	0	root
27	.	PUNCT	26	punct