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:
More than ever, police and prosecutors have the tools and the will to go after horrific crimes, even when the defendants are seemingly powerful individuals or institutions .
Postion	Tokenization
1	More
2	than
3	ever
4	,
5	police
6	and
7	prosecutors
8	have
9	the
10	tools
11	and
12	the
13	will
14	to
15	go
16	after
17	horrific
18	crimes
19	,
20	even
21	when
22	the
23	defendants
24	are
25	seemingly
26	powerful
27	individuals
28	or
29	institutions
30	.
Position	Tokenization	UPOS	Head	Deprel
1	More	ADV	8	advmod
2	than	ADP	3	case
3	ever	ADV	1	obl
4	,	PUNCT	8	punct
5	police	NOUN	8	nsubj
6	and	CCONJ	7	cc
7	prosecutors	NOUN	5	conj
8	have	VERB	0	root
9	the	DET	10	det
10	tools	NOUN	8	obj
11	and	CCONJ	13	cc
12	the	DET	13	det
13	will	NOUN	10	conj
14	to	PART	15	mark
15	go	VERB	10	acl
16	after	ADP	18	case
17	horrific	ADJ	18	amod
18	crimes	NOUN	15	obl
19	,	PUNCT	15	punct
20	even	ADV	27	advmod
21	when	SCONJ	27	mark
22	the	DET	23	det
23	defendants	NOUN	27	nsubj
24	are	AUX	27	cop
25	seemingly	ADV	26	advmod
26	powerful	ADJ	27	amod
27	individuals	NOUN	15	ccomp
28	or	CCONJ	29	cc
29	institutions	NOUN	27	conj
30	.	PUNCT	8	punct