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:
Cela est particulièrement vrai dans A Chaste Maid in Cheapside, qui offre une vision panoramique d'une Londres entièrement peuplée d'habitants corrompus et qui n'épargne aucune classe sociale.
Postion	Tokenization
1	Cela
2	est
3	particulièrement
4	vrai
5	dans
6	A
7	Chaste
8	Maid
9	in
10	Cheapside
11	,
12	qui
13	offre
14	une
15	vision
16	panoramique
17	d'
18	une
19	Londres
20	entièrement
21	peuplée
22	d'
23	habitants
24	corrompus
25	et
26	qui
27	n'
28	épargne
29	aucune
30	classe
31	sociale
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Cela	PRON	4	nsubj
2	est	AUX	4	cop
3	particulièrement	ADV	4	advmod
4	vrai	ADJ	0	root
5	dans	ADP	6	case
6	A	X	4	obl:mod
7	Chaste	X	6	flat:foreign
8	Maid	X	7	flat:foreign
9	in	X	8	flat:foreign
10	Cheapside	X	9	flat:foreign
11	,	PUNCT	13	punct
12	qui	PRON	13	nsubj
13	offre	VERB	6	acl:relcl
14	une	DET	15	det
15	vision	NOUN	13	obj
16	panoramique	ADJ	15	amod
17	d'	ADP	19	case
18	une	DET	19	det
19	Londres	PROPN	15	nmod
20	entièrement	ADV	21	advmod
21	peuplée	VERB	19	acl
22	d'	ADP	23	case
23	habitants	NOUN	21	obl:arg
24	corrompus	ADJ	23	amod
25	et	CCONJ	28	cc
26	qui	PRON	28	nsubj
27	n'	ADV	28	advmod
28	épargne	VERB	13	conj
29	aucune	DET	30	det
30	classe	NOUN	28	obj
31	sociale	ADJ	30	amod
32	.	PUNCT	4	punct