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:
La popularisation et la praticité devinrent les mots d'ordre des réformateurs alors qu'ils recherchaient à refaire leur science, qu'ils voyaient comme étant devenue trop théorique, académique, et lourde.
Postion	Tokenization
1	La
2	popularisation
3	et
4	la
5	praticité
6	devinrent
7	les
8	mots
9	d'
10	ordre
11	des
12	de
13	les
14	réformateurs
15	alors
16	qu'
17	ils
18	recherchaient
19	à
20	refaire
21	leur
22	science
23	,
24	qu'
25	ils
26	voyaient
27	comme
28	étant
29	devenue
30	trop
31	théorique
32	,
33	académique
34	,
35	et
36	lourde
37	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	popularisation	NOUN	6	nsubj
3	et	CCONJ	5	cc
4	la	DET	5	det
5	praticité	NOUN	2	conj
6	devinrent	VERB	0	root
7	les	DET	8	det
8	mots	NOUN	6	xcomp:pred
9	d'	ADP	10	case
10	ordre	NOUN	8	nmod
11	des	_	None	_
12	de	ADP	13	case
13	les	DET	13	det
14	réformateurs	NOUN	8	nmod
15	alors	ADV	17	mark
16	qu'	SCONJ	14	fixed
17	ils	PRON	17	nsubj
18	recherchaient	VERB	6	advcl
19	à	ADP	19	mark
20	refaire	VERB	17	xcomp:obl
21	leur	DET	21	det
22	science	NOUN	19	obj
23	,	PUNCT	25	punct
24	qu'	PRON	25	obj
25	ils	PRON	25	nsubj
26	voyaient	VERB	21	acl:relcl
27	comme	SCONJ	28	mark
28	étant	AUX	28	aux:tense
29	devenue	VERB	25	xcomp:pred
30	trop	ADV	30	advmod
31	théorique	ADJ	28	xcomp:pred
32	,	PUNCT	32	punct
33	académique	ADJ	30	conj
34	,	PUNCT	35	punct
35	et	CCONJ	35	cc
36	lourde	ADJ	30	conj
37	.	PUNCT	6	punct