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:
Néanmoins, bien plus tard, dans Cinéma I et Cinéma II, le philosophe Gilles Deleuze prend Matière et mémoire comme base de sa propre philosophie du cinéma et réexamine les concepts de Bergson en les joignant à la sémiotique de Charles Peirce.
Postion	Tokenization
1	Néanmoins
2	,
3	bien
4	plus
5	tard
6	,
7	dans
8	Cinéma
9	I
10	et
11	Cinéma
12	II
13	,
14	le
15	philosophe
16	Gilles
17	Deleuze
18	prend
19	Matière
20	et
21	mémoire
22	comme
23	base
24	de
25	sa
26	propre
27	philosophie
28	du
29	de
30	le
31	cinéma
32	et
33	réexamine
34	les
35	concepts
36	de
37	Bergson
38	en
39	les
40	joignant
41	à
42	la
43	sémiotique
44	de
45	Charles
46	Peirce
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Néanmoins	ADV	18	advmod
2	,	PUNCT	1	punct
3	bien	ADV	4	advmod
4	plus	ADV	5	advmod
5	tard	ADV	18	advmod
6	,	PUNCT	5	punct
7	dans	ADP	8	case
8	Cinéma	PROPN	18	obl:mod
9	I	NUM	8	nmod
10	et	CCONJ	11	cc
11	Cinéma	PROPN	8	conj
12	II	NUM	11	nmod
13	,	PUNCT	8	punct
14	le	DET	15	det
15	philosophe	NOUN	18	nsubj
16	Gilles	PROPN	15	appos
17	Deleuze	PROPN	16	flat:name
18	prend	VERB	0	root
19	Matière	PROPN	18	obj
20	et	CCONJ	21	cc
21	mémoire	NOUN	19	conj
22	comme	ADP	23	case
23	base	NOUN	18	obl:mod
24	de	ADP	27	case
25	sa	DET	27	det
26	propre	ADJ	27	amod
27	philosophie	NOUN	23	nmod
28	du	_	None	_
29	de	ADP	30	case
30	le	DET	30	det
31	cinéma	NOUN	27	nmod
32	et	CCONJ	32	cc
33	réexamine	VERB	18	conj
34	les	DET	34	det
35	concepts	NOUN	32	obj
36	de	ADP	36	case
37	Bergson	PROPN	34	nmod
38	en	ADP	39	mark
39	les	PRON	39	obj
40	joignant	VERB	32	advcl
41	à	ADP	42	case
42	la	DET	42	det
43	sémiotique	NOUN	39	obl:arg
44	de	ADP	44	case
45	Charles	PROPN	42	nmod
46	Peirce	PROPN	44	flat:name
47	.	PUNCT	18	punct