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:
» En 1733, il fut nommé censeur royal de librairie pour les belles-lettres et l'histoire, puis en 1735 censeur royal des spectacles.
Postion	Tokenization
1	»
2	En
3	1733
4	,
5	il
6	fut
7	nommé
8	censeur
9	royal
10	de
11	librairie
12	pour
13	les
14	belles-lettres
15	et
16	l'
17	histoire
18	,
19	puis
20	en
21	1735
22	censeur
23	royal
24	des
25	de
26	les
27	spectacles
28	.
Position	Tokenization	UPOS	Head	Deprel
1	»	PUNCT	7	punct
2	En	ADP	3	case
3	1733	NUM	7	obl:mod
4	,	PUNCT	3	punct
5	il	PRON	7	nsubj:pass
6	fut	AUX	7	aux:pass
7	nommé	VERB	0	root
8	censeur	NOUN	7	xcomp:pred
9	royal	ADJ	8	amod
10	de	ADP	11	case
11	librairie	NOUN	8	nmod
12	pour	ADP	14	case
13	les	DET	14	det
14	belles-lettres	NOUN	8	nmod
15	et	CCONJ	17	cc
16	l'	DET	17	det
17	histoire	NOUN	14	conj
18	,	PUNCT	22	punct
19	puis	ADV	22	cc
20	en	ADP	21	case
21	1735	NUM	22	nmod
22	censeur	NOUN	8	conj
23	royal	ADJ	22	amod
24	des	_	None	_
25	de	ADP	26	case
26	les	DET	26	det
27	spectacles	NOUN	22	nmod
28	.	PUNCT	7	punct