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:
Au milieu du XVe siècle, Louis de Beaumont, seigneur de Bressuire et chambellan de Louis XI, entreprend la reconstruction du château fort en partie ruiné après la guerre de Cent Ans.
Postion	Tokenization
1	Au
2	à
3	le
4	milieu
5	du
6	de
7	le
8	XVe
9	siècle
10	,
11	Louis
12	de
13	Beaumont
14	,
15	seigneur
16	de
17	Bressuire
18	et
19	chambellan
20	de
21	Louis
22	XI
23	,
24	entreprend
25	la
26	reconstruction
27	du
28	de
29	le
30	château
31	fort
32	en
33	partie
34	ruiné
35	après
36	la
37	guerre
38	de
39	Cent
40	Ans
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Au	_	None	_
2	à	ADP	3	case
3	le	DET	3	det
4	milieu	NOUN	22	obl:mod
5	du	_	None	_
6	de	ADP	7	case
7	le	DET	7	det
8	XVe	ADJ	7	amod
9	siècle	NOUN	3	nmod
10	,	PUNCT	3	punct
11	Louis	PROPN	22	nsubj
12	de	ADP	11	case
13	Beaumont	PROPN	9	nmod
14	,	PUNCT	13	punct
15	seigneur	NOUN	9	appos
16	de	ADP	15	case
17	Bressuire	PROPN	13	nmod
18	et	CCONJ	17	cc
19	chambellan	NOUN	13	conj
20	de	ADP	19	case
21	Louis	PROPN	17	nmod
22	XI	NUM	19	nmod
23	,	PUNCT	13	punct
24	entreprend	VERB	0	root
25	la	DET	24	det
26	reconstruction	NOUN	22	obj
27	du	_	None	_
28	de	ADP	27	case
29	le	DET	27	det
30	château	NOUN	24	nmod
31	fort	ADJ	27	amod
32	en	ADP	30	case
33	partie	NOUN	31	obl:mod
34	ruiné	VERB	27	acl
35	après	ADP	34	case
36	la	DET	34	det
37	guerre	NOUN	31	obl:mod
38	de	ADP	37	case
39	Cent	NUM	37	nummod
40	Ans	NOUN	34	nmod
41	.	PUNCT	22	punct