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:
An incredible number of people in the Arab world believe that September 11 never happened, or was an American provocation or, even better, a Jewish plot.
Postion	Tokenization
1	An
2	incredible
3	number
4	of
5	people
6	in
7	the
8	Arab
9	world
10	believe
11	that
12	September
13	11
14	never
15	happened
16	,
17	or
18	was
19	an
20	American
21	provocation
22	or
23	,
24	even
25	better
26	,
27	a
28	Jewish
29	plot
30	.
Position	Tokenization	UPOS	Head	Deprel
1	An	DET	3	det
2	incredible	ADJ	3	amod
3	number	NOUN	10	nsubj
4	of	ADP	5	case
5	people	NOUN	3	nmod
6	in	ADP	9	case
7	the	DET	9	det
8	Arab	ADJ	9	amod
9	world	NOUN	5	nmod
10	believe	VERB	0	root
11	that	SCONJ	15	mark
12	September	PROPN	15	nsubj
13	11	NUM	12	nummod
14	never	ADV	15	advmod
15	happened	VERB	10	ccomp
16	,	PUNCT	21	punct
17	or	CCONJ	21	cc
18	was	AUX	21	cop
19	an	DET	21	det
20	American	ADJ	21	amod
21	provocation	NOUN	15	conj
22	or	CCONJ	29	cc
23	,	PUNCT	29	punct
24	even	ADV	25	advmod
25	better	ADV	29	advmod
26	,	PUNCT	29	punct
27	a	DET	29	det
28	Jewish	ADJ	29	amod
29	plot	NOUN	21	conj
30	.	PUNCT	10	punct