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:
Like in the case of organized crime, it is crucial that the forces on the offensive be united and it is crucial to reach the top of the crime pyramid.
Postion	Tokenization
1	Like
2	in
3	the
4	case
5	of
6	organized
7	crime
8	,
9	it
10	is
11	crucial
12	that
13	the
14	forces
15	on
16	the
17	offensive
18	be
19	united
20	and
21	it
22	is
23	crucial
24	to
25	reach
26	the
27	top
28	of
29	the
30	crime
31	pyramid
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Like	ADP	4	case
2	in	ADP	4	case
3	the	DET	4	det
4	case	NOUN	11	obl
5	of	ADP	7	case
6	organized	ADJ	7	amod
7	crime	NOUN	4	nmod
8	,	PUNCT	11	punct
9	it	PRON	11	expl
10	is	AUX	11	cop
11	crucial	ADJ	0	root
12	that	SCONJ	19	mark
13	the	DET	14	det
14	forces	NOUN	19	nsubj
15	on	ADP	17	case
16	the	DET	17	det
17	offensive	NOUN	14	nmod
18	be	AUX	19	cop
19	united	ADJ	11	ccomp
20	and	CCONJ	23	cc
21	it	PRON	23	expl
22	is	AUX	23	cop
23	crucial	ADJ	11	conj
24	to	PART	25	mark
25	reach	VERB	23	xcomp
26	the	DET	27	det
27	top	NOUN	25	obj
28	of	ADP	31	case
29	the	DET	31	det
30	crime	NOUN	31	compound
31	pyramid	NOUN	27	nmod
32	.	PUNCT	11	punct