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:
La ley castiga con multa de uno a dos meses la imprudencia leve con resultado de muerte, y con multa de 15 a 30 días la imprudencia con resultado de lesiones.
Postion	Tokenization
1	La
2	ley
3	castiga
4	con
5	multa
6	de
7	uno
8	a
9	dos
10	meses
11	la
12	imprudencia
13	leve
14	con
15	resultado
16	de
17	muerte
18	,
19	y
20	con
21	multa
22	de
23	15
24	a
25	30
26	días
27	la
28	imprudencia
29	con
30	resultado
31	de
32	lesiones
33	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	ley	NOUN	3	nsubj
3	castiga	VERB	0	root
4	con	ADP	5	case
5	multa	NOUN	3	obl
6	de	ADP	7	case
7	uno	PRON	5	nmod
8	a	ADP	10	case
9	dos	NUM	10	nummod
10	meses	NOUN	7	nmod
11	la	DET	12	det
12	imprudencia	NOUN	3	obj
13	leve	ADJ	12	amod
14	con	ADP	15	case
15	resultado	NOUN	12	nmod
16	de	ADP	17	case
17	muerte	NOUN	15	nmod
18	,	PUNCT	28	punct
19	y	CCONJ	28	cc
20	con	ADP	21	case
21	multa	NOUN	28	nmod
22	de	ADP	23	case
23	15	NUM	21	nummod
24	a	ADP	26	case
25	30	NUM	26	nummod
26	días	NOUN	23	nmod
27	la	DET	28	det
28	imprudencia	NOUN	3	conj
29	con	ADP	30	case
30	resultado	NOUN	28	nmod
31	de	ADP	32	case
32	lesiones	NOUN	30	nmod
33	.	PUNCT	3	punct