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:
Nicolas Hulot est régulièrement critiqué pour ses liens avec la chaîne de télévision TF1 et avec les grandes entreprises sponsors de sa fondation, dont il a récemment démissionné.
Postion	Tokenization
1	Nicolas
2	Hulot
3	est
4	régulièrement
5	critiqué
6	pour
7	ses
8	liens
9	avec
10	la
11	chaîne
12	de
13	télévision
14	TF1
15	et
16	avec
17	les
18	grandes
19	entreprises
20	sponsors
21	de
22	sa
23	fondation
24	,
25	dont
26	il
27	a
28	récemment
29	démissionné
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Nicolas	PROPN	5	nsubj:pass
2	Hulot	PROPN	1	flat:name
3	est	AUX	5	aux:pass
4	régulièrement	ADV	5	advmod
5	critiqué	VERB	0	root
6	pour	ADP	8	case
7	ses	DET	8	det
8	liens	NOUN	5	obl:mod
9	avec	ADP	11	case
10	la	DET	11	det
11	chaîne	NOUN	8	nmod
12	de	ADP	13	case
13	télévision	NOUN	11	nmod
14	TF1	PROPN	11	appos
15	et	CCONJ	19	cc
16	avec	ADP	19	case
17	les	DET	19	det
18	grandes	ADJ	19	amod
19	entreprises	NOUN	11	conj
20	sponsors	NOUN	19	nmod
21	de	ADP	23	case
22	sa	DET	23	det
23	fondation	NOUN	20	nmod
24	,	PUNCT	29	punct
25	dont	PRON	29	obl:arg
26	il	PRON	29	nsubj
27	a	AUX	29	aux:tense
28	récemment	ADV	29	advmod
29	démissionné	VERB	23	acl:relcl
30	.	PUNCT	5	punct