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 recent elections in Iraq were dominated by an amalgam of religiously fundamentalist Shi'ite organizations, principally the Dawa Party and the Supreme Council for Islamic Revolution in Iraq (SCIRI).
Postion	Tokenization
1	The
2	recent
3	elections
4	in
5	Iraq
6	were
7	dominated
8	by
9	an
10	amalgam
11	of
12	religiously
13	fundamentalist
14	Shi'ite
15	organizations
16	,
17	principally
18	the
19	Dawa
20	Party
21	and
22	the
23	Supreme
24	Council
25	for
26	Islamic
27	Revolution
28	in
29	Iraq
30	(
31	SCIRI
32	)
33	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	recent	ADJ	3	amod
3	elections	NOUN	7	nsubj:pass
4	in	ADP	5	case
5	Iraq	PROPN	3	nmod
6	were	AUX	7	aux:pass
7	dominated	VERB	0	root
8	by	ADP	10	case
9	an	DET	10	det
10	amalgam	NOUN	7	obl
11	of	ADP	15	case
12	religiously	ADV	13	advmod
13	fundamentalist	ADJ	15	amod
14	Shi'ite	ADJ	15	amod
15	organizations	NOUN	10	nmod
16	,	PUNCT	15	punct
17	principally	ADV	20	advmod
18	the	DET	20	det
19	Dawa	PROPN	20	compound
20	Party	PROPN	15	appos
21	and	CCONJ	24	cc
22	the	DET	24	det
23	Supreme	PROPN	24	compound
24	Council	PROPN	20	conj
25	for	ADP	27	case
26	Islamic	PROPN	27	compound
27	Revolution	PROPN	24	nmod
28	in	ADP	29	case
29	Iraq	PROPN	27	nmod
30	(	PUNCT	31	punct
31	SCIRI	PROPN	24	appos
32	)	PUNCT	31	punct
33	.	PUNCT	7	punct