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:
2) Target Israel and encourage the worst elements of the Palestinians by playing on the iron fist policies of the Sharon government.
Postion	Tokenization
1	2
2	)
3	Target
4	Israel
5	and
6	encourage
7	the
8	worst
9	elements
10	of
11	the
12	Palestinians
13	by
14	playing
15	on
16	the
17	iron
18	fist
19	policies
20	of
21	the
22	Sharon
23	government
24	.
Position	Tokenization	UPOS	Head	Deprel
1	2	X	3	nummod
2	)	PUNCT	1	punct
3	Target	VERB	0	root
4	Israel	PROPN	3	obj
5	and	CCONJ	6	cc
6	encourage	VERB	3	conj
7	the	DET	9	det
8	worst	ADJ	9	amod
9	elements	NOUN	6	obj
10	of	ADP	12	case
11	the	DET	12	det
12	Palestinians	PROPN	9	nmod
13	by	SCONJ	14	mark
14	playing	VERB	6	advcl
15	on	ADP	19	case
16	the	DET	19	det
17	iron	ADJ	18	amod
18	fist	NOUN	19	compound
19	policies	NOUN	14	obl
20	of	ADP	22	case
21	the	DET	22	det
22	Sharon	PROPN	19	nmod
23	government	NOUN	22	flat
24	.	PUNCT	3	punct