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:
Because Usamah is Saudi, my guess is that they were especially influenced by an extremist form of the Wahhabi school of Islam that predominates among Saudia's some 15 million citizens.
Postion	Tokenization
1	Because
2	Usamah
3	is
4	Saudi
5	,
6	my
7	guess
8	is
9	that
10	they
11	were
12	especially
13	influenced
14	by
15	an
16	extremist
17	form
18	of
19	the
20	Wahhabi
21	school
22	of
23	Islam
24	that
25	predominates
26	among
27	Saudia's
28	Saudia
29	's
30	some
31	15
32	million
33	citizens
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Because	SCONJ	4	mark
2	Usamah	PROPN	4	nsubj
3	is	AUX	4	cop
4	Saudi	ADJ	8	advcl
5	,	PUNCT	8	punct
6	my	PRON	7	nmod:poss
7	guess	NOUN	8	nsubj
8	is	VERB	0	root
9	that	SCONJ	13	mark
10	they	PRON	13	nsubj:pass
11	were	AUX	13	aux:pass
12	especially	ADV	13	advmod
13	influenced	VERB	8	ccomp
14	by	ADP	17	case
15	an	DET	17	det
16	extremist	NOUN	17	compound
17	form	NOUN	13	obl
18	of	ADP	21	case
19	the	DET	21	det
20	Wahhabi	ADJ	21	amod
21	school	NOUN	17	nmod
22	of	ADP	23	case
23	Islam	PROPN	21	nmod
24	that	PRON	25	nsubj
25	predominates	VERB	21	acl:relcl
26	among	ADP	32	case
27	Saudia's	_	None	_
28	Saudia	PROPN	32	nmod:poss
29	's	PART	27	case
30	some	DET	31	advmod
31	15	NUM	31	compound
32	million	NUM	32	nummod
33	citizens	NOUN	25	obl
34	.	PUNCT	8	punct