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:
Denécé est régulièrement consulté par les médias français et internationaux et compte à son actif plus d'un millier d'interventions radiophoniques et plusieurs centaines d'interventions télévisées.
Postion	Tokenization
1	Denécé
2	est
3	régulièrement
4	consulté
5	par
6	les
7	médias
8	français
9	et
10	internationaux
11	et
12	compte
13	à
14	son
15	actif
16	plus
17	d'
18	un
19	millier
20	d'
21	interventions
22	radiophoniques
23	et
24	plusieurs
25	centaines
26	d'
27	interventions
28	télévisées
29	.
Position	Tokenization	UPOS	Head	Deprel
1	Denécé	PROPN	4	nsubj:pass
2	est	AUX	4	aux:pass
3	régulièrement	ADV	4	advmod
4	consulté	VERB	0	root
5	par	ADP	7	case
6	les	DET	7	det
7	médias	NOUN	4	obl:agent
8	français	ADJ	7	amod
9	et	CCONJ	10	cc
10	internationaux	ADJ	8	conj
11	et	CCONJ	12	cc
12	compte	VERB	4	conj
13	à	ADP	15	case
14	son	DET	15	det
15	actif	ADJ	12	obl:mod
16	plus	ADV	12	obj
17	d'	ADP	19	case
18	un	NUM	19	nummod
19	millier	NOUN	16	dep:comp
20	d'	ADP	21	case
21	interventions	NOUN	19	nmod
22	radiophoniques	ADJ	21	amod
23	et	CCONJ	25	cc
24	plusieurs	DET	25	det
25	centaines	NOUN	21	conj
26	d'	ADP	27	case
27	interventions	NOUN	25	nmod
28	télévisées	ADJ	27	amod
29	.	PUNCT	4	punct