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:
Au cours de la même année, Alicia a aussi reçu d'autres bonnes critiques pour son deuxième film, Le Journal d'une baby-sitter, qu'elle tourne aux côtés de Scarlett Johansson et Chris Evans.
Postion	Tokenization
1	Au
2	à
3	le
4	cours
5	de
6	la
7	même
8	année
9	,
10	Alicia
11	a
12	aussi
13	reçu
14	d'
15	autres
16	bonnes
17	critiques
18	pour
19	son
20	deuxième
21	film
22	,
23	Le
24	Journal
25	d'
26	une
27	baby-sitter
28	,
29	qu'
30	elle
31	tourne
32	aux
33	à
34	les
35	côtés
36	de
37	Scarlett
38	Johansson
39	et
40	Chris
41	Evans
42	.
Position	Tokenization	UPOS	Head	Deprel
1	Au	_	None	_
2	à	ADP	3	case
3	le	DET	3	det
4	cours	NOUN	12	obl:mod
5	de	ADP	7	case
6	la	DET	7	det
7	même	ADJ	7	amod
8	année	NOUN	3	nmod
9	,	PUNCT	3	punct
10	Alicia	PROPN	12	nsubj
11	a	AUX	12	aux:tense
12	aussi	ADV	12	advmod
13	reçu	VERB	0	root
14	d'	DET	16	det
15	autres	ADJ	16	amod
16	bonnes	ADJ	16	amod
17	critiques	NOUN	12	obj
18	pour	ADP	20	case
19	son	DET	20	det
20	deuxième	ADJ	20	amod
21	film	NOUN	12	obl:mod
22	,	PUNCT	23	punct
23	Le	DET	23	det
24	Journal	NOUN	20	appos
25	d'	ADP	26	case
26	une	DET	26	det
27	baby-sitter	NOUN	23	nmod
28	,	PUNCT	30	punct
29	qu'	PRON	30	obj
30	elle	PRON	30	nsubj
31	tourne	VERB	20	acl:relcl
32	aux	_	None	_
33	à	ADP	30	advmod
34	les	DET	31	fixed
35	côtés	NOUN	31	fixed
36	de	ADP	35	case
37	Scarlett	PROPN	31	obl:arg
38	Johansson	PROPN	35	flat:name
39	et	CCONJ	38	cc
40	Chris	PROPN	35	conj
41	Evans	PROPN	38	flat:name
42	.	PUNCT	12	punct