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:
Ainsi le mot populisme contient dans la définition qu'on lui prête tous les préjugés de classe, tout le mépris pour le peuple.
Postion	Tokenization
1	Ainsi
2	le
3	mot
4	populisme
5	contient
6	dans
7	la
8	définition
9	qu'
10	on
11	lui
12	prête
13	tous
14	les
15	préjugés
16	de
17	classe
18	,
19	tout
20	le
21	mépris
22	pour
23	le
24	peuple
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Ainsi	ADV	5	advmod
2	le	DET	3	det
3	mot	NOUN	5	nsubj
4	populisme	NOUN	3	nmod
5	contient	VERB	0	root
6	dans	ADP	8	case
7	la	DET	8	det
8	définition	NOUN	5	obl:mod
9	qu'	PRON	12	obj
10	on	PRON	12	nsubj
11	lui	PRON	12	obl:arg
12	prête	VERB	8	acl:relcl
13	tous	ADJ	15	amod
14	les	DET	15	det
15	préjugés	NOUN	5	obj
16	de	ADP	17	case
17	classe	NOUN	15	nmod
18	,	PUNCT	21	punct
19	tout	ADJ	21	amod
20	le	DET	21	det
21	mépris	NOUN	15	conj
22	pour	ADP	24	case
23	le	DET	24	det
24	peuple	NOUN	21	nmod
25	.	PUNCT	5	punct