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:
Massimiliano Guareschi et Maurizio Guerri analysent ainsi les réflexions de Jünger : « le fait qu'[il] parle d'"armée du travail absolu" n'est pas un hasard.
Postion	Tokenization
1	Massimiliano
2	Guareschi
3	et
4	Maurizio
5	Guerri
6	analysent
7	ainsi
8	les
9	réflexions
10	de
11	Jünger
12	:
13	«
14	le
15	fait
16	qu'
17	[
18	il
19	]
20	parle
21	d'
22	"
23	armée
24	du
25	de
26	le
27	travail
28	absolu
29	"
30	n'
31	est
32	pas
33	un
34	hasard
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Massimiliano	PROPN	6	nsubj
2	Guareschi	PROPN	1	flat:name
3	et	CCONJ	4	cc
4	Maurizio	PROPN	1	conj
5	Guerri	PROPN	4	flat:name
6	analysent	VERB	0	root
7	ainsi	ADV	6	advmod
8	les	DET	9	det
9	réflexions	NOUN	6	obj
10	de	ADP	11	case
11	Jünger	PROPN	9	nmod
12	:	PUNCT	33	punct
13	«	PUNCT	33	punct
14	le	DET	15	det
15	fait	NOUN	33	nsubj
16	qu'	SCONJ	20	mark
17	[	PUNCT	18	punct
18	il	PRON	20	nsubj
19	]	PUNCT	18	punct
20	parle	VERB	15	acl
21	d'	ADP	23	case
22	"	PUNCT	23	punct
23	armée	NOUN	20	obl:arg
24	du	_	None	_
25	de	ADP	26	case
26	le	DET	26	det
27	travail	NOUN	23	nmod
28	absolu	ADJ	26	amod
29	"	PUNCT	23	punct
30	n'	ADV	33	advmod
31	est	AUX	33	cop
32	pas	ADV	33	advmod
33	un	DET	33	det
34	hasard	NOUN	6	parataxis
35	.	PUNCT	6	punct