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:
Mais dans les terrains sans formations superficielles meubles, il est beaucoup plus difficile de connaître l'extension passée et de différencier par exemple entre pergélisol continu et discontinu.
Postion	Tokenization
1	Mais
2	dans
3	les
4	terrains
5	sans
6	formations
7	superficielles
8	meubles
9	,
10	il
11	est
12	beaucoup
13	plus
14	difficile
15	de
16	connaître
17	l'
18	extension
19	passée
20	et
21	de
22	différencier
23	par
24	exemple
25	entre
26	pergélisol
27	continu
28	et
29	discontinu
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Mais	CCONJ	14	cc
2	dans	ADP	4	case
3	les	DET	4	det
4	terrains	NOUN	14	obl:mod
5	sans	ADP	6	case
6	formations	NOUN	4	nmod
7	superficielles	ADJ	6	amod
8	meubles	ADJ	4	amod
9	,	PUNCT	4	punct
10	il	PRON	14	expl:subj
11	est	AUX	14	cop
12	beaucoup	ADV	13	advmod
13	plus	ADV	14	advmod
14	difficile	ADJ	0	root
15	de	ADP	16	mark
16	connaître	VERB	14	csubj
17	l'	DET	18	det
18	extension	NOUN	16	obj
19	passée	VERB	18	acl
20	et	CCONJ	22	cc
21	de	ADP	22	mark
22	différencier	VERB	16	conj
23	par	ADP	22	advmod
24	exemple	NOUN	23	fixed
25	entre	ADP	26	case
26	pergélisol	NOUN	22	obl:mod
27	continu	ADJ	26	amod
28	et	CCONJ	29	cc
29	discontinu	ADJ	27	conj
30	.	PUNCT	14	punct