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:
Il construira une des plus grandes mosquées en terre d'islam, après celles de la Mecque et de Médine mais il interdira en même temps d'activité toute formation politique islamiste.
Postion	Tokenization
1	Il
2	construira
3	une
4	des
5	de
6	les
7	plus
8	grandes
9	mosquées
10	en
11	terre
12	d'
13	islam
14	,
15	après
16	celles
17	de
18	la
19	Mecque
20	et
21	de
22	Médine
23	mais
24	il
25	interdira
26	en
27	même
28	temps
29	d'
30	activité
31	toute
32	formation
33	politique
34	islamiste
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	construira	VERB	0	root
3	une	PRON	2	obj
4	des	_	None	_
5	de	ADP	8	case
6	les	DET	8	det
7	plus	ADV	7	advmod
8	grandes	ADJ	8	amod
9	mosquées	NOUN	3	nmod
10	en	ADP	10	case
11	terre	NOUN	8	nmod
12	d'	ADP	12	case
13	islam	NOUN	10	nmod
14	,	PUNCT	15	punct
15	après	ADP	15	case
16	celles	PRON	3	nmod
17	de	ADP	18	case
18	la	DET	18	det
19	Mecque	PROPN	15	nmod
20	et	CCONJ	21	cc
21	de	ADP	21	case
22	Médine	PROPN	18	conj
23	mais	CCONJ	24	cc
24	il	PRON	24	nsubj
25	interdira	VERB	2	conj
26	en	ADP	24	advmod
27	même	ADJ	25	fixed
28	temps	NOUN	25	fixed
29	d'	ADP	29	case
30	activité	NOUN	24	obl:arg
31	toute	DET	31	det
32	formation	NOUN	24	obj
33	politique	ADJ	31	amod
34	islamiste	ADJ	31	amod
35	.	PUNCT	2	punct