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:
I refer to the entire area between Pakistan and Morocco, which is predominantly Arab, predominantly Moslem, but includes many non-Arab and also significant non-Moslem minorities.
Postion	Tokenization
1	I
2	refer
3	to
4	the
5	entire
6	area
7	between
8	Pakistan
9	and
10	Morocco
11	,
12	which
13	is
14	predominantly
15	Arab
16	,
17	predominantly
18	Moslem
19	,
20	but
21	includes
22	many
23	non-Arab
24	and
25	also
26	significant
27	non-Moslem
28	minorities
29	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	refer	VERB	0	root
3	to	ADP	6	case
4	the	DET	6	det
5	entire	ADJ	6	amod
6	area	NOUN	2	obl
7	between	ADP	8	case
8	Pakistan	PROPN	6	nmod
9	and	CCONJ	10	cc
10	Morocco	PROPN	8	conj
11	,	PUNCT	6	punct
12	which	PRON	15	nsubj
13	is	AUX	15	cop
14	predominantly	ADV	15	advmod
15	Arab	ADJ	6	acl:relcl
16	,	PUNCT	18	punct
17	predominantly	ADV	18	advmod
18	Moslem	ADJ	15	conj
19	,	PUNCT	21	punct
20	but	CCONJ	21	cc
21	includes	VERB	15	conj
22	many	ADJ	23	amod
23	non-Arab	ADJ	28	amod
24	and	CCONJ	27	cc
25	also	ADV	27	advmod
26	significant	ADJ	27	amod
27	non-Moslem	ADJ	23	conj
28	minorities	NOUN	21	obj
29	.	PUNCT	2	punct