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:
Yes, there is a 100 year-old Israeli-Arab conflict, but it is not where the main show is.
Postion	Tokenization
1	Yes
2	,
3	there
4	is
5	a
6	100
7	year
8	-
9	old
10	Israeli
11	-
12	Arab
13	conflict
14	,
15	but
16	it
17	is
18	not
19	where
20	the
21	main
22	show
23	is
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Yes	INTJ	4	discourse
2	,	PUNCT	4	punct
3	there	PRON	4	expl
4	is	VERB	0	root
5	a	DET	13	det
6	100	NUM	7	nummod
7	year	NOUN	9	obl:tmod
8	-	PUNCT	9	punct
9	old	ADJ	13	amod
10	Israeli	ADJ	12	amod
11	-	PUNCT	12	punct
12	Arab	ADJ	13	amod
13	conflict	NOUN	4	nsubj
14	,	PUNCT	17	punct
15	but	CCONJ	17	cc
16	it	PRON	17	nsubj
17	is	VERB	4	conj
18	not	PART	17	advmod
19	where	SCONJ	23	mark
20	the	DET	22	det
21	main	ADJ	22	amod
22	show	NOUN	23	nsubj
23	is	VERB	17	advcl
24	.	PUNCT	4	punct