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:
Internet est un média dans lequel chaque utilisateur choisit le contenu qu'il souhaite consulter, ce qui induit une fragmentation de l'audience et donc une problématique de media planning spécifique.
Postion	Tokenization
1	Internet
2	est
3	un
4	média
5	dans
6	lequel
7	chaque
8	utilisateur
9	choisit
10	le
11	contenu
12	qu'
13	il
14	souhaite
15	consulter
16	,
17	ce
18	qui
19	induit
20	une
21	fragmentation
22	de
23	l'
24	audience
25	et
26	donc
27	une
28	problématique
29	de
30	media
31	planning
32	spécifique
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Internet	PROPN	4	nsubj
2	est	AUX	4	cop
3	un	DET	4	det
4	média	NOUN	0	root
5	dans	ADP	6	case
6	lequel	PRON	9	obl:mod
7	chaque	DET	8	det
8	utilisateur	NOUN	9	nsubj
9	choisit	VERB	4	acl:relcl
10	le	DET	11	det
11	contenu	NOUN	9	obj
12	qu'	PRON	14	obj
13	il	PRON	14	nsubj
14	souhaite	VERB	11	acl:relcl
15	consulter	VERB	14	xcomp:obj
16	,	PUNCT	17	punct
17	ce	PRON	11	appos
18	qui	PRON	19	nsubj
19	induit	VERB	17	acl:relcl
20	une	DET	21	det
21	fragmentation	NOUN	19	obj
22	de	ADP	24	case
23	l'	DET	24	det
24	audience	NOUN	21	nmod
25	et	CCONJ	28	cc
26	donc	ADV	28	advmod
27	une	DET	28	det
28	problématique	NOUN	21	conj
29	de	ADP	31	case
30	media	NOUN	31	nmod
31	planning	NOUN	28	nmod
32	spécifique	ADJ	28	amod
33	.	PUNCT	4	punct