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:
C'est pour cette raison que l'alliance fut formée, avec pour objectif de réunir une troupe d'au moins 2000 cavaliers pour défendre toute cité de l'alliance qui serait attaquée par la Grande Compagnie.
Postion	Tokenization
1	C'
2	est
3	pour
4	cette
5	raison
6	que
7	l'
8	alliance
9	fut
10	formée
11	,
12	avec
13	pour
14	objectif
15	de
16	réunir
17	une
18	troupe
19	d'
20	au
21	à
22	le
23	moins
24	2000
25	cavaliers
26	pour
27	défendre
28	toute
29	cité
30	de
31	l'
32	alliance
33	qui
34	serait
35	attaquée
36	par
37	la
38	Grande
39	Compagnie
40	.
Position	Tokenization	UPOS	Head	Deprel
1	C'	PRON	5	expl:subj
2	est	AUX	5	cop
3	pour	ADP	5	case
4	cette	DET	5	det
5	raison	NOUN	0	root
6	que	SCONJ	10	mark
7	l'	DET	8	det
8	alliance	NOUN	10	nsubj:pass
9	fut	AUX	10	aux:pass
10	formée	VERB	5	advcl:cleft
11	,	PUNCT	16	punct
12	avec	ADP	16	mark
13	pour	ADP	14	case
14	objectif	NOUN	16	obl:mod
15	de	ADP	16	mark
16	réunir	VERB	10	advcl
17	une	DET	18	det
18	troupe	NOUN	16	obj
19	d'	ADP	24	case
20	au	_	None	_
21	à	ADP	23	advmod
22	le	DET	20	fixed
23	moins	ADV	20	fixed
24	2000	NUM	24	nummod
25	cavaliers	NOUN	16	obl:mod
26	pour	ADP	26	mark
27	défendre	VERB	16	advcl
28	toute	DET	28	det
29	cité	NOUN	26	obj
30	de	ADP	31	case
31	l'	DET	31	det
32	alliance	NOUN	28	nmod
33	qui	PRON	34	nsubj:pass
34	serait	AUX	34	aux:pass
35	attaquée	VERB	31	acl:relcl
36	par	ADP	38	case
37	la	DET	38	det
38	Grande	ADJ	38	amod
39	Compagnie	NOUN	34	obl:agent
40	.	PUNCT	5	punct