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:
Le symbole le plus évident de ce relatif éloignement de la trame du roman réside dans la transformation du personnage masculin Alexandre-Bonaparte Cust (dans le roman) en celui du personnage féminin Amanda Beatrice Cross (dans le film).
Postion	Tokenization
1	Le
2	symbole
3	le
4	plus
5	évident
6	de
7	ce
8	relatif
9	éloignement
10	de
11	la
12	trame
13	du
14	de
15	le
16	roman
17	réside
18	dans
19	la
20	transformation
21	du
22	de
23	le
24	personnage
25	masculin
26	Alexandre
27	-
28	Bonaparte
29	Cust
30	(
31	dans
32	le
33	roman
34	)
35	en
36	celui
37	du
38	de
39	le
40	personnage
41	féminin
42	Amanda
43	Beatrice
44	Cross
45	(
46	dans
47	le
48	film
49	)
50	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	symbole	NOUN	16	nsubj
3	le	DET	5	advmod
4	plus	ADV	3	fixed
5	évident	ADJ	2	amod
6	de	ADP	9	case
7	ce	DET	9	det
8	relatif	ADJ	9	amod
9	éloignement	NOUN	2	nmod
10	de	ADP	12	case
11	la	DET	12	det
12	trame	NOUN	9	nmod
13	du	_	None	_
14	de	ADP	15	case
15	le	DET	15	det
16	roman	NOUN	12	nmod
17	réside	VERB	0	root
18	dans	ADP	19	case
19	la	DET	19	det
20	transformation	NOUN	16	obl:arg
21	du	_	None	_
22	de	ADP	22	case
23	le	DET	22	det
24	personnage	NOUN	19	nmod
25	masculin	ADJ	22	amod
26	Alexandre	PROPN	22	appos
27	-	PUNCT	26	punct
28	Bonaparte	PROPN	24	flat:name
29	Cust	PROPN	26	flat:name
30	(	PUNCT	31	punct
31	dans	ADP	31	case
32	le	DET	31	det
33	roman	NOUN	22	nmod
34	)	PUNCT	31	punct
35	en	ADP	34	case
36	celui	PRON	19	nmod
37	du	_	None	_
38	de	ADP	37	case
39	le	DET	37	det
40	personnage	NOUN	34	nmod
41	féminin	ADJ	37	amod
42	Amanda	PROPN	37	appos
43	Beatrice	PROPN	39	flat:name
44	Cross	PROPN	40	flat:name
45	(	PUNCT	45	punct
46	dans	ADP	45	case
47	le	DET	45	det
48	film	NOUN	37	nmod
49	)	PUNCT	45	punct
50	.	PUNCT	16	punct