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 y a déjà beaucoup à apprendre et à faire avec ce dont nous disposons actuellement au niveau moteur, système électronique et batterie" assure Julien Schell.
Postion	Tokenization
1	"
2	Il
3	y
4	a
5	déjà
6	beaucoup
7	à
8	apprendre
9	et
10	à
11	faire
12	avec
13	ce
14	dont
15	nous
16	disposons
17	actuellement
18	au
19	à
20	le
21	niveau
22	moteur
23	,
24	système
25	électronique
26	et
27	batterie
28	"
29	assure
30	Julien
31	Schell
32	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	4	punct
2	Il	PRON	4	expl:subj
3	y	PRON	4	dep:comp
4	a	VERB	0	root
5	déjà	ADV	4	advmod
6	beaucoup	ADV	4	advmod
7	à	ADP	8	mark
8	apprendre	VERB	6	ccomp:obl
9	et	CCONJ	11	cc
10	à	ADP	11	mark
11	faire	VERB	8	conj
12	avec	ADP	13	case
13	ce	PRON	6	obl:mod
14	dont	PRON	16	obl:arg
15	nous	PRON	16	nsubj
16	disposons	VERB	13	acl:relcl
17	actuellement	ADV	16	advmod
18	au	_	None	_
19	à	ADP	20	case
20	le	DET	20	det
21	niveau	NOUN	16	obl:mod
22	moteur	NOUN	20	appos
23	,	PUNCT	23	punct
24	système	NOUN	21	conj
25	électronique	ADJ	23	amod
26	et	CCONJ	26	cc
27	batterie	NOUN	21	conj
28	"	PUNCT	4	punct
29	assure	VERB	4	parataxis
30	Julien	PROPN	28	nsubj
31	Schell	PROPN	29	flat:name
32	.	PUNCT	4	punct