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:
Le miroir de dame Raison indique donc à la fois le caractère encyclopédique de l'œuvre entreprise par la narratrice tout en réclamant pour les femmes une éducation semblable à celle des hommes.
Postion	Tokenization
1	Le
2	miroir
3	de
4	dame
5	Raison
6	indique
7	donc
8	à
9	la
10	fois
11	le
12	caractère
13	encyclopédique
14	de
15	l'
16	œuvre
17	entreprise
18	par
19	la
20	narratrice
21	tout
22	en
23	réclamant
24	pour
25	les
26	femmes
27	une
28	éducation
29	semblable
30	à
31	celle
32	des
33	de
34	les
35	hommes
36	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	miroir	NOUN	6	nsubj
3	de	ADP	4	case
4	dame	NOUN	2	nmod
5	Raison	PROPN	4	appos
6	indique	VERB	0	root
7	donc	ADV	6	advmod
8	à	ADP	12	advmod
9	la	DET	8	fixed
10	fois	NOUN	8	fixed
11	le	DET	12	det
12	caractère	NOUN	6	obj
13	encyclopédique	ADJ	12	amod
14	de	ADP	16	case
15	l'	DET	16	det
16	œuvre	NOUN	12	nmod
17	entreprise	VERB	16	acl
18	par	ADP	20	case
19	la	DET	20	det
20	narratrice	NOUN	17	obl:agent
21	tout	ADV	23	mark
22	en	ADP	21	fixed
23	réclamant	VERB	6	advcl
24	pour	ADP	26	case
25	les	DET	26	det
26	femmes	NOUN	23	obl:mod
27	une	DET	28	det
28	éducation	NOUN	23	obj
29	semblable	ADJ	28	amod
30	à	ADP	31	case
31	celle	PRON	29	obl:arg
32	des	_	None	_
33	de	ADP	34	case
34	les	DET	34	det
35	hommes	NOUN	31	nmod
36	.	PUNCT	6	punct