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:
A noter que le super héros Luke Cage qu'elle épousera était un personnage important de "Alias" et qu'il sera également présent dans cette nouvelle série TV Marvel.
Postion	Tokenization
1	A
2	noter
3	que
4	le
5	super
6	héros
7	Luke
8	Cage
9	qu'
10	elle
11	épousera
12	était
13	un
14	personnage
15	important
16	de
17	"
18	Alias
19	"
20	et
21	qu'
22	il
23	sera
24	également
25	présent
26	dans
27	cette
28	nouvelle
29	série
30	TV
31	Marvel
32	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	2	mark
2	noter	VERB	0	root
3	que	SCONJ	14	mark
4	le	DET	6	det
5	super	ADJ	6	amod
6	héros	NOUN	14	nsubj
7	Luke	PROPN	6	appos
8	Cage	PROPN	7	flat:name
9	qu'	PRON	11	obj
10	elle	PRON	11	nsubj
11	épousera	VERB	6	acl:relcl
12	était	AUX	14	cop
13	un	DET	14	det
14	personnage	NOUN	2	ccomp:obj
15	important	ADJ	14	amod
16	de	ADP	18	case
17	"	PUNCT	18	punct
18	Alias	PROPN	14	nmod
19	"	PUNCT	18	punct
20	et	CCONJ	25	cc
21	qu'	SCONJ	25	mark
22	il	PRON	25	nsubj
23	sera	AUX	25	cop
24	également	ADV	25	advmod
25	présent	ADJ	14	conj
26	dans	ADP	29	case
27	cette	DET	29	det
28	nouvelle	ADJ	29	amod
29	série	NOUN	25	obl:arg
30	TV	PROPN	29	appos
31	Marvel	PROPN	30	flat:name
32	.	PUNCT	2	punct