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:
Ce dernier téléfilm réunit près de 6 millions de téléspectateurs selon Médiamétrie, mais des grandes surfaces comme Auchan ou Carrefour rechignent à le commercialiser.
Postion	Tokenization
1	Ce
2	dernier
3	téléfilm
4	réunit
5	près
6	de
7	6
8	millions
9	de
10	téléspectateurs
11	selon
12	Médiamétrie
13	,
14	mais
15	des
16	grandes
17	surfaces
18	comme
19	Auchan
20	ou
21	Carrefour
22	rechignent
23	à
24	le
25	commercialiser
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Ce	DET	3	det
2	dernier	ADJ	3	amod
3	téléfilm	NOUN	4	nsubj
4	réunit	VERB	0	root
5	près	ADV	4	obj
6	de	ADP	8	case
7	6	NUM	8	nummod
8	millions	NOUN	5	dep:comp
9	de	ADP	10	case
10	téléspectateurs	NOUN	8	nmod
11	selon	ADP	12	case
12	Médiamétrie	PROPN	4	obl:mod
13	,	PUNCT	22	punct
14	mais	CCONJ	22	cc
15	des	DET	17	det
16	grandes	ADJ	17	amod
17	surfaces	NOUN	22	nsubj
18	comme	ADP	19	case
19	Auchan	PROPN	17	nmod
20	ou	CCONJ	21	cc
21	Carrefour	PROPN	19	conj
22	rechignent	VERB	4	conj
23	à	ADP	25	mark
24	le	PRON	25	obj
25	commercialiser	VERB	22	xcomp:obl
26	.	PUNCT	4	punct