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:
Nowruz convainc Ghazan que ceux qui ont mis Baïdou sur le trône, l'on fait parce qu'ils craignent de le voir se venger de l'assassinat de son père.
Postion	Tokenization
1	Nowruz
2	convainc
3	Ghazan
4	que
5	ceux
6	qui
7	ont
8	mis
9	Baïdou
10	sur
11	le
12	trône
13	,
14	l'
15	on
16	fait
17	parce
18	qu'
19	ils
20	craignent
21	de
22	le
23	voir
24	se
25	venger
26	de
27	l'
28	assassinat
29	de
30	son
31	père
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Nowruz	PROPN	2	nsubj
2	convainc	VERB	0	root
3	Ghazan	PROPN	2	obj
4	que	SCONJ	16	mark
5	ceux	PRON	16	nsubj
6	qui	PRON	8	nsubj
7	ont	AUX	8	aux:tense
8	mis	VERB	5	acl:relcl
9	Baïdou	PROPN	8	obj
10	sur	ADP	12	case
11	le	DET	12	det
12	trône	NOUN	8	obl:mod
13	,	PUNCT	8	punct
14	l'	PRON	16	obj
15	on	AUX	16	aux:tense
16	fait	VERB	2	ccomp:obl
17	parce	ADV	20	mark
18	qu'	SCONJ	17	fixed
19	ils	PRON	20	nsubj
20	craignent	VERB	16	advcl
21	de	ADP	23	mark
22	le	PRON	23	obj
23	voir	VERB	20	xcomp:obj
24	se	PRON	25	obj
25	venger	VERB	23	xcomp:obj
26	de	ADP	28	case
27	l'	DET	28	det
28	assassinat	NOUN	25	obl:arg
29	de	ADP	31	case
30	son	DET	31	det
31	père	NOUN	28	nmod
32	.	PUNCT	2	punct