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:
Bradley Cooper étant également impliqué dans le tournage de "Paradise Lost" qui débutera aussi l'année prochaine, il aurait eu beaucoup de mal à participer à cette nouvelle adaptation de "The Crow".
Postion	Tokenization
1	Bradley
2	Cooper
3	étant
4	également
5	impliqué
6	dans
7	le
8	tournage
9	de
10	"
11	Paradise
12	Lost
13	"
14	qui
15	débutera
16	aussi
17	l'
18	année
19	prochaine
20	,
21	il
22	aurait
23	eu
24	beaucoup
25	de
26	mal
27	à
28	participer
29	à
30	cette
31	nouvelle
32	adaptation
33	de
34	"
35	The
36	Crow
37	"
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Bradley	PROPN	5	nsubj:pass
2	Cooper	PROPN	1	flat:name
3	étant	AUX	5	aux:pass
4	également	ADV	5	advmod
5	impliqué	VERB	23	advcl
6	dans	ADP	8	case
7	le	DET	8	det
8	tournage	NOUN	5	obl:arg
9	de	ADP	11	case
10	"	PUNCT	11	punct
11	Paradise	X	8	nmod
12	Lost	X	11	flat:foreign
13	"	PUNCT	11	punct
14	qui	PRON	15	nsubj
15	débutera	VERB	8	acl:relcl
16	aussi	ADV	15	advmod
17	l'	DET	18	det
18	année	NOUN	15	obl:mod
19	prochaine	ADJ	18	amod
20	,	PUNCT	5	punct
21	il	PRON	23	nsubj
22	aurait	AUX	23	aux:tense
23	eu	VERB	0	root
24	beaucoup	ADV	23	obj
25	de	ADP	26	case
26	mal	NOUN	24	dep:comp
27	à	ADP	28	mark
28	participer	VERB	23	xcomp:obl
29	à	ADP	32	case
30	cette	DET	32	det
31	nouvelle	ADJ	32	amod
32	adaptation	NOUN	28	obl:arg
33	de	ADP	35	case
34	"	PUNCT	35	punct
35	The	X	32	nmod
36	Crow	X	35	flat:foreign
37	"	PUNCT	35	punct
38	.	PUNCT	23	punct