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:
El fiscal siempre calificó los hechos como un delito de homicidio con imprudencia, que prevé penas de uno a cuatro años de prisión, y otros dos delitos de lesiones.
Postion	Tokenization
1	El
2	fiscal
3	siempre
4	calificó
5	los
6	hechos
7	como
8	un
9	delito
10	de
11	homicidio
12	con
13	imprudencia
14	,
15	que
16	prevé
17	penas
18	de
19	uno
20	a
21	cuatro
22	años
23	de
24	prisión
25	,
26	y
27	otros
28	dos
29	delitos
30	de
31	lesiones
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	fiscal	NOUN	4	nsubj
3	siempre	ADV	4	advmod
4	calificó	VERB	0	root
5	los	DET	6	det
6	hechos	NOUN	4	obj
7	como	SCONJ	9	mark
8	un	DET	9	det
9	delito	NOUN	4	obj
10	de	ADP	11	case
11	homicidio	NOUN	9	nmod
12	con	ADP	13	case
13	imprudencia	NOUN	11	nmod
14	,	PUNCT	16	punct
15	que	PRON	16	nsubj
16	prevé	VERB	9	acl
17	penas	NOUN	16	obj
18	de	ADP	19	case
19	uno	PRON	17	nmod
20	a	ADP	22	case
21	cuatro	NUM	22	nummod
22	años	NOUN	19	nmod
23	de	ADP	24	case
24	prisión	NOUN	17	nmod
25	,	PUNCT	29	punct
26	y	CCONJ	29	cc
27	otros	DET	29	det
28	dos	NUM	27	nummod
29	delitos	NOUN	9	conj
30	de	ADP	31	case
31	lesiones	NOUN	29	nmod
32	.	PUNCT	4	punct