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:
Half of the population of the Arab world is under the age of 20, the most receptive age to incitement, guaranteeing two more generations of blind hatred.
Postion	Tokenization
1	Half
2	of
3	the
4	population
5	of
6	the
7	Arab
8	world
9	is
10	under
11	the
12	age
13	of
14	20
15	,
16	the
17	most
18	receptive
19	age
20	to
21	incitement
22	,
23	guaranteeing
24	two
25	more
26	generations
27	of
28	blind
29	hatred
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Half	NOUN	9	nsubj
2	of	ADP	4	case
3	the	DET	4	det
4	population	NOUN	1	nmod
5	of	ADP	8	case
6	the	DET	8	det
7	Arab	ADJ	8	amod
8	world	NOUN	4	nmod
9	is	VERB	0	root
10	under	ADP	12	case
11	the	DET	12	det
12	age	NOUN	9	obl
13	of	ADP	14	case
14	20	NUM	12	nmod
15	,	PUNCT	12	punct
16	the	DET	19	det
17	most	ADV	18	advmod
18	receptive	ADJ	19	amod
19	age	NOUN	12	appos
20	to	ADP	21	case
21	incitement	NOUN	19	nmod
22	,	PUNCT	9	punct
23	guaranteeing	VERB	9	advcl
24	two	NUM	26	nummod
25	more	ADJ	26	amod
26	generations	NOUN	23	obj
27	of	ADP	29	case
28	blind	ADJ	29	amod
29	hatred	NOUN	26	nmod
30	.	PUNCT	9	punct