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:
Iraqiya, qui avait déjà suspendu sa participation au Parlement, a décidé lundi de boycotter le gouvernement pour protester contre la "dictature" de M. Maliki.
Postion	Tokenization
1	Iraqiya
2	,
3	qui
4	avait
5	déjà
6	suspendu
7	sa
8	participation
9	au
10	à
11	le
12	Parlement
13	,
14	a
15	décidé
16	lundi
17	de
18	boycotter
19	le
20	gouvernement
21	pour
22	protester
23	contre
24	la
25	"
26	dictature
27	"
28	de
29	M.
30	Maliki
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Iraqiya	PROPN	14	nsubj
2	,	PUNCT	6	punct
3	qui	PRON	6	nsubj
4	avait	AUX	6	aux:tense
5	déjà	ADV	6	advmod
6	suspendu	VERB	1	acl:relcl
7	sa	DET	8	det
8	participation	NOUN	6	obj
9	au	_	None	_
10	à	ADP	11	case
11	le	DET	11	det
12	Parlement	NOUN	8	nmod
13	,	PUNCT	6	punct
14	a	AUX	14	aux:tense
15	décidé	VERB	0	root
16	lundi	NOUN	14	obl:mod
17	de	ADP	17	mark
18	boycotter	VERB	14	xcomp:obj
19	le	DET	19	det
20	gouvernement	NOUN	17	obj
21	pour	ADP	21	mark
22	protester	VERB	14	advcl
23	contre	ADP	25	case
24	la	DET	25	det
25	"	PUNCT	25	punct
26	dictature	NOUN	21	obl:mod
27	"	PUNCT	25	punct
28	de	ADP	28	case
29	M.	NOUN	25	nmod
30	Maliki	PROPN	28	flat:name
31	.	PUNCT	14	punct