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:
Quand l'Arménie devient chrétienne, et quand elle invente son propre alphabet--vers 405 grâce au moine Mesrop Machtots--, la littérature arménienne commence à se développer.
Postion	Tokenization
1	Quand
2	l'
3	Arménie
4	devient
5	chrétienne
6	,
7	et
8	quand
9	elle
10	invente
11	son
12	propre
13	alphabet
14	--
15	vers
16	405
17	grâce
18	au
19	à
20	le
21	moine
22	Mesrop
23	Machtots
24	--
25	,
26	la
27	littérature
28	arménienne
29	commence
30	à
31	se
32	développer
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Quand	SCONJ	4	mark
2	l'	DET	3	det
3	Arménie	PROPN	4	nsubj
4	devient	VERB	28	advcl
5	chrétienne	ADJ	4	xcomp:pred
6	,	PUNCT	10	punct
7	et	CCONJ	10	cc
8	quand	SCONJ	10	mark
9	elle	PRON	10	nsubj
10	invente	VERB	4	conj
11	son	DET	13	det
12	propre	ADJ	13	amod
13	alphabet	NOUN	10	obj
14	--	PUNCT	16	punct
15	vers	ADP	16	case
16	405	NUM	10	obl:mod
17	grâce	NOUN	20	case
18	au	_	None	_
19	à	ADP	17	fixed
20	le	DET	20	det
21	moine	NOUN	10	obl:mod
22	Mesrop	PROPN	20	appos
23	Machtots	PROPN	21	flat:name
24	--	PUNCT	20	punct
25	,	PUNCT	10	punct
26	la	DET	26	det
27	littérature	NOUN	28	nsubj
28	arménienne	ADJ	26	amod
29	commence	VERB	0	root
30	à	ADP	31	mark
31	se	PRON	31	expl:pass
32	développer	VERB	28	xcomp:obl
33	.	PUNCT	28	punct