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:
Il pense, de manière assez chevaleresque qu'un numéro spécial de la revue Esprit, regroupant dans son sommaire les meilleurs esprits du moment, peut changer la donne politique.
Postion	Tokenization
1	Il
2	pense
3	,
4	de
5	manière
6	assez
7	chevaleresque
8	qu'
9	un
10	numéro
11	spécial
12	de
13	la
14	revue
15	Esprit
16	,
17	regroupant
18	dans
19	son
20	sommaire
21	les
22	meilleurs
23	esprits
24	du
25	de
26	le
27	moment
28	,
29	peut
30	changer
31	la
32	donne
33	politique
34	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	nsubj
2	pense	VERB	0	root
3	,	PUNCT	5	punct
4	de	ADP	5	case
5	manière	NOUN	2	obl:mod
6	assez	ADV	7	advmod
7	chevaleresque	ADJ	5	amod
8	qu'	SCONJ	28	mark
9	un	DET	10	det
10	numéro	NOUN	28	nsubj
11	spécial	ADJ	10	amod
12	de	ADP	14	case
13	la	DET	14	det
14	revue	NOUN	10	nmod
15	Esprit	PROPN	14	appos
16	,	PUNCT	17	punct
17	regroupant	VERB	10	acl
18	dans	ADP	20	case
19	son	DET	20	det
20	sommaire	NOUN	17	obl:mod
21	les	DET	23	det
22	meilleurs	ADJ	23	amod
23	esprits	NOUN	17	obj
24	du	_	None	_
25	de	ADP	26	case
26	le	DET	26	det
27	moment	NOUN	23	nmod
28	,	PUNCT	17	punct
29	peut	VERB	2	ccomp:obj
30	changer	VERB	28	xcomp:obj
31	la	DET	31	det
32	donne	NOUN	29	obj
33	politique	ADJ	31	amod
34	.	PUNCT	2	punct