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:
If part of the public supports it, others tolerate it, many are afraid of it and some try to explain it away by poverty or by a miserable childhood, organized crime will thrive and so will terrorism.
Postion	Tokenization
1	If
2	part
3	of
4	the
5	public
6	supports
7	it
8	,
9	others
10	tolerate
11	it
12	,
13	many
14	are
15	afraid
16	of
17	it
18	and
19	some
20	try
21	to
22	explain
23	it
24	away
25	by
26	poverty
27	or
28	by
29	a
30	miserable
31	childhood
32	,
33	organized
34	crime
35	will
36	thrive
37	and
38	so
39	will
40	terrorism
41	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	6	mark
2	part	NOUN	6	nsubj
3	of	ADP	5	case
4	the	DET	5	det
5	public	NOUN	2	nmod
6	supports	VERB	36	advcl
7	it	PRON	6	obj
8	,	PUNCT	10	punct
9	others	NOUN	10	nsubj
10	tolerate	VERB	6	ccomp
11	it	PRON	10	obj
12	,	PUNCT	15	punct
13	many	ADJ	15	nsubj
14	are	AUX	15	cop
15	afraid	ADJ	6	conj
16	of	ADP	17	case
17	it	PRON	15	obl
18	and	CCONJ	20	cc
19	some	DET	20	nsubj
20	try	VERB	6	conj
21	to	PART	22	mark
22	explain	VERB	20	xcomp
23	it	PRON	22	obj
24	away	ADV	22	advmod
25	by	ADP	26	case
26	poverty	NOUN	22	obl
27	or	CCONJ	31	cc
28	by	ADP	31	case
29	a	DET	31	det
30	miserable	ADJ	31	amod
31	childhood	NOUN	26	conj
32	,	PUNCT	36	punct
33	organized	ADJ	34	amod
34	crime	NOUN	36	nsubj
35	will	AUX	36	aux
36	thrive	VERB	0	root
37	and	CCONJ	39	cc
38	so	ADV	39	advmod
39	will	AUX	36	conj
40	terrorism	NOUN	39	nsubj
41	.	PUNCT	36	punct