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:
Incitement by Arab TV, accompanied by horror pictures of mutilated bodies, has become a powerful weapon of those who lie, distort and want to destroy everything.
Postion	Tokenization
1	Incitement
2	by
3	Arab
4	TV
5	,
6	accompanied
7	by
8	horror
9	pictures
10	of
11	mutilated
12	bodies
13	,
14	has
15	become
16	a
17	powerful
18	weapon
19	of
20	those
21	who
22	lie
23	,
24	distort
25	and
26	want
27	to
28	destroy
29	everything
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Incitement	NOUN	15	nsubj
2	by	ADP	4	case
3	Arab	ADJ	4	amod
4	TV	NOUN	1	nmod
5	,	PUNCT	1	punct
6	accompanied	VERB	1	acl
7	by	ADP	9	case
8	horror	NOUN	9	compound
9	pictures	NOUN	6	obl
10	of	ADP	12	case
11	mutilated	VERB	12	amod
12	bodies	NOUN	9	nmod
13	,	PUNCT	15	punct
14	has	AUX	15	aux
15	become	VERB	0	root
16	a	DET	18	det
17	powerful	ADJ	18	amod
18	weapon	NOUN	15	xcomp
19	of	ADP	20	case
20	those	PRON	18	nmod
21	who	PRON	22	nsubj
22	lie	VERB	20	acl:relcl
23	,	PUNCT	24	punct
24	distort	VERB	22	conj
25	and	CCONJ	26	cc
26	want	VERB	22	conj
27	to	PART	28	mark
28	destroy	VERB	26	xcomp
29	everything	PRON	28	obj
30	.	PUNCT	18	punct