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 democracy is just free elections, it is likely that the most fanatic regime will be elected, the one whose incitement and fabrications are the most inflammatory.
Postion	Tokenization
1	If
2	democracy
3	is
4	just
5	free
6	elections
7	,
8	it
9	is
10	likely
11	that
12	the
13	most
14	fanatic
15	regime
16	will
17	be
18	elected
19	,
20	the
21	one
22	whose
23	incitement
24	and
25	fabrications
26	are
27	the
28	most
29	inflammatory
30	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	6	mark
2	democracy	NOUN	6	nsubj
3	is	AUX	6	cop
4	just	ADV	6	advmod
5	free	ADJ	6	amod
6	elections	NOUN	10	advcl
7	,	PUNCT	10	punct
8	it	PRON	10	expl
9	is	AUX	10	cop
10	likely	ADJ	0	root
11	that	SCONJ	18	mark
12	the	DET	15	det
13	most	ADV	14	advmod
14	fanatic	ADJ	15	amod
15	regime	NOUN	18	nsubj:pass
16	will	AUX	18	aux
17	be	AUX	18	aux:pass
18	elected	VERB	10	csubj
19	,	PUNCT	18	punct
20	the	DET	21	det
21	one	NOUN	18	obj
22	whose	PRON	23	nmod:poss
23	incitement	NOUN	29	nsubj
24	and	CCONJ	25	cc
25	fabrications	NOUN	23	conj
26	are	AUX	29	cop
27	the	DET	28	det
28	most	ADV	29	advmod
29	inflammatory	ADJ	21	acl:relcl
30	.	PUNCT	10	punct