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:
C'est un échec public retentissant ainsi que son film suivant La Femme de l'autre qui fut désavoué par ses deux réalisateurs successifs George Cukor et Mervyn LeRoy.
Postion	Tokenization
1	C'
2	est
3	un
4	échec
5	public
6	retentissant
7	ainsi
8	que
9	son
10	film
11	suivant
12	La
13	Femme
14	de
15	l'
16	autre
17	qui
18	fut
19	désavoué
20	par
21	ses
22	deux
23	réalisateurs
24	successifs
25	George
26	Cukor
27	et
28	Mervyn
29	LeRoy
30	.
Position	Tokenization	UPOS	Head	Deprel
1	C'	PRON	4	nsubj
2	est	AUX	4	cop
3	un	DET	4	det
4	échec	NOUN	0	root
5	public	ADJ	4	amod
6	retentissant	VERB	4	acl
7	ainsi	ADV	10	cc
8	que	SCONJ	7	fixed
9	son	DET	10	det
10	film	NOUN	4	conj
11	suivant	ADJ	10	amod
12	La	DET	13	det
13	Femme	NOUN	10	appos
14	de	ADP	16	case
15	l'	DET	16	det
16	autre	PRON	13	nmod
17	qui	PRON	19	nsubj:pass
18	fut	AUX	19	aux:pass
19	désavoué	VERB	10	acl:relcl
20	par	ADP	23	case
21	ses	DET	23	det
22	deux	NUM	23	nummod
23	réalisateurs	NOUN	19	obl:agent
24	successifs	ADJ	23	amod
25	George	PROPN	23	appos
26	Cukor	PROPN	25	flat:name
27	et	CCONJ	28	cc
28	Mervyn	PROPN	25	conj
29	LeRoy	PROPN	28	flat:name
30	.	PUNCT	4	punct