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:
« J'essayais de saisir dans son ensemble cette vision déformée de l'Histoire : l'Europe assez puissante pour battre les Turcs et lancer des bateaux sur les mers.
Postion	Tokenization
1	«
2	J'
3	essayais
4	de
5	saisir
6	dans
7	son
8	ensemble
9	cette
10	vision
11	déformée
12	de
13	l'
14	Histoire
15	:
16	l'
17	Europe
18	assez
19	puissante
20	pour
21	battre
22	les
23	Turcs
24	et
25	lancer
26	des
27	bateaux
28	sur
29	les
30	mers
31	.
Position	Tokenization	UPOS	Head	Deprel
1	«	PUNCT	3	punct
2	J'	PRON	3	nsubj
3	essayais	VERB	0	root
4	de	ADP	5	mark
5	saisir	VERB	3	xcomp:obj
6	dans	ADP	8	case
7	son	DET	8	det
8	ensemble	NOUN	5	obl:mod
9	cette	DET	10	det
10	vision	NOUN	5	obj
11	déformée	VERB	10	acl
12	de	ADP	14	case
13	l'	DET	14	det
14	Histoire	NOUN	10	nmod
15	:	PUNCT	17	punct
16	l'	DET	17	det
17	Europe	PROPN	10	appos
18	assez	ADV	19	advmod
19	puissante	ADJ	17	amod
20	pour	ADP	21	mark
21	battre	VERB	19	advcl
22	les	DET	23	det
23	Turcs	PROPN	21	obj
24	et	CCONJ	25	cc
25	lancer	VERB	21	conj
26	des	DET	27	det
27	bateaux	NOUN	25	obj
28	sur	ADP	30	case
29	les	DET	30	det
30	mers	NOUN	25	obl:mod
31	.	PUNCT	3	punct