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 cambio es importante, porque el delito finalmente imputado es más grave que el que inicialmente se planteaba en la instrucción del caso.
Postion	Tokenization
1	El
2	cambio
3	es
4	importante
5	,
6	porque
7	el
8	delito
9	finalmente
10	imputado
11	es
12	más
13	grave
14	que
15	el
16	que
17	inicialmente
18	se
19	planteaba
20	en
21	la
22	instrucción
23	del
24	caso
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	cambio	NOUN	4	nsubj
3	es	AUX	4	cop
4	importante	ADJ	0	root
5	,	PUNCT	13	punct
6	porque	SCONJ	13	mark
7	el	DET	8	det
8	delito	NOUN	13	nsubj
9	finalmente	ADV	10	advmod
10	imputado	ADJ	8	amod
11	es	AUX	13	cop
12	más	ADV	13	advmod
13	grave	ADJ	4	advcl
14	que	SCONJ	19	mark
15	el	DET	19	det
16	que	PRON	19	nsubj
17	inicialmente	ADV	19	advmod
18	se	PRON	19	expl:pass
19	planteaba	VERB	13	advcl
20	en	ADP	22	case
21	la	DET	22	det
22	instrucción	NOUN	19	obl
23	del	ADP	24	case
24	caso	NOUN	22	nmod
25	.	PUNCT	4	punct