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:
The IIP had also been the main force urging Sunni Arabs to participate in the elections scheduled for January, and had been opposed in this stance by the Association of Muslim Scholars.
Postion	Tokenization
1	The
2	IIP
3	had
4	also
5	been
6	the
7	main
8	force
9	urging
10	Sunni
11	Arabs
12	to
13	participate
14	in
15	the
16	elections
17	scheduled
18	for
19	January
20	,
21	and
22	had
23	been
24	opposed
25	in
26	this
27	stance
28	by
29	the
30	Association
31	of
32	Muslim
33	Scholars
34	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	IIP	PROPN	8	nsubj
3	had	AUX	8	aux
4	also	ADV	8	advmod
5	been	AUX	8	cop
6	the	DET	8	det
7	main	ADJ	8	amod
8	force	NOUN	0	root
9	urging	VERB	8	acl
10	Sunni	ADJ	11	amod
11	Arabs	PROPN	9	obj
12	to	PART	13	mark
13	participate	VERB	9	xcomp
14	in	ADP	16	case
15	the	DET	16	det
16	elections	NOUN	13	obl
17	scheduled	VERB	16	acl
18	for	ADP	19	case
19	January	PROPN	17	obl
20	,	PUNCT	24	punct
21	and	CCONJ	24	cc
22	had	AUX	24	aux
23	been	AUX	24	aux:pass
24	opposed	VERB	8	conj
25	in	ADP	27	case
26	this	DET	27	det
27	stance	NOUN	24	obl
28	by	ADP	30	case
29	the	DET	30	det
30	Association	PROPN	24	obl
31	of	ADP	33	case
32	Muslim	PROPN	33	compound
33	Scholars	PROPN	30	nmod
34	.	PUNCT	8	punct