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:
Plus récemment, la compagnie aérienne a été mise en vedette dans le film de Steven Spielberg Arrête-moi si tu peux ;
Postion	Tokenization
1	Plus
2	récemment
3	,
4	la
5	compagnie
6	aérienne
7	a
8	été
9	mise
10	en
11	vedette
12	dans
13	le
14	film
15	de
16	Steven
17	Spielberg
18	Arrête
19	-moi
20	si
21	tu
22	peux
23	;
Position	Tokenization	UPOS	Head	Deprel
1	Plus	ADV	2	advmod
2	récemment	ADV	9	advmod
3	,	PUNCT	2	punct
4	la	DET	5	det
5	compagnie	NOUN	9	nsubj:pass
6	aérienne	ADJ	5	amod
7	a	AUX	9	aux:tense
8	été	AUX	9	aux:pass
9	mise	VERB	0	root
10	en	ADP	11	case
11	vedette	NOUN	9	obl:mod
12	dans	ADP	14	case
13	le	DET	14	det
14	film	NOUN	9	obl:mod
15	de	ADP	16	case
16	Steven	PROPN	14	nmod
17	Spielberg	PROPN	16	flat:name
18	Arrête	VERB	14	appos
19	-moi	PRON	18	obj
20	si	SCONJ	22	mark
21	tu	PRON	22	nsubj
22	peux	VERB	18	advcl
23	;	PUNCT	9	punct