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:
Il est probable que des extensions brumeuses de cette masse puissent se matérialiser afin de former d'horribles rejetons, les fameux « mille chevreaux ».
Postion	Tokenization
1	Il
2	est
3	probable
4	que
5	des
6	extensions
7	brumeuses
8	de
9	cette
10	masse
11	puissent
12	se
13	matérialiser
14	afin
15	de
16	former
17	d'
18	horribles
19	rejetons
20	,
21	les
22	fameux
23	«
24	mille
25	chevreaux
26	»
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	expl:subj
2	est	AUX	3	cop
3	probable	ADJ	0	root
4	que	SCONJ	11	mark
5	des	DET	6	det
6	extensions	NOUN	11	nsubj
7	brumeuses	ADJ	6	amod
8	de	ADP	10	case
9	cette	DET	10	det
10	masse	NOUN	6	nmod
11	puissent	VERB	3	csubj
12	se	PRON	13	expl:pass
13	matérialiser	VERB	11	xcomp:obj
14	afin	ADV	13	advmod
15	de	ADP	16	mark
16	former	VERB	14	ccomp:obj
17	d'	DET	19	det
18	horribles	ADJ	19	amod
19	rejetons	NOUN	16	obj
20	,	PUNCT	25	punct
21	les	DET	25	det
22	fameux	ADJ	25	amod
23	«	PUNCT	25	punct
24	mille	NUM	25	nummod
25	chevreaux	NOUN	19	appos
26	»	PUNCT	25	punct
27	.	PUNCT	3	punct