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:
Robert Downey Jr qui devait retrouver à nouveau Jon Favreau dans le film "Cowboys and Aliens" vient finalement de décliner l'offre qui lui avait été faite.
Postion	Tokenization
1	Robert
2	Downey
3	Jr
4	qui
5	devait
6	retrouver
7	à
8	nouveau
9	Jon
10	Favreau
11	dans
12	le
13	film
14	"
15	Cowboys
16	and
17	Aliens
18	"
19	vient
20	finalement
21	de
22	décliner
23	l'
24	offre
25	qui
26	lui
27	avait
28	été
29	faite
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Robert	PROPN	19	nsubj
2	Downey	PROPN	1	flat:name
3	Jr	PROPN	2	flat:name
4	qui	PRON	5	nsubj
5	devait	VERB	1	acl:relcl
6	retrouver	VERB	5	xcomp:obj
7	à	ADP	6	advmod
8	nouveau	ADJ	7	fixed
9	Jon	PROPN	6	obj
10	Favreau	PROPN	9	flat:name
11	dans	ADP	13	case
12	le	DET	13	det
13	film	NOUN	6	obl:mod
14	"	PUNCT	15	punct
15	Cowboys	X	13	appos
16	and	X	15	flat:foreign
17	Aliens	X	16	flat:foreign
18	"	PUNCT	15	punct
19	vient	VERB	0	root
20	finalement	ADV	19	advmod
21	de	ADP	22	mark
22	décliner	VERB	19	xcomp:obl
23	l'	DET	24	det
24	offre	NOUN	22	obj
25	qui	PRON	29	nsubj:pass
26	lui	PRON	29	obl:arg
27	avait	AUX	29	aux:tense
28	été	AUX	29	aux:pass
29	faite	VERB	24	acl:relcl
30	.	PUNCT	19	punct