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 le lendemain matin la petite saignée de 30 cm de fond avait fait place à une brèche de 32 mètres de large et de 6 mètres de profondeur.
Postion	Tokenization
1	Mais
2	le
3	lendemain
4	matin
5	la
6	petite
7	saignée
8	de
9	30
10	cm
11	de
12	fond
13	avait
14	fait
15	place
16	à
17	une
18	brèche
19	de
20	32
21	mètres
22	de
23	large
24	et
25	de
26	6
27	mètres
28	de
29	profondeur
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Mais	CCONJ	14	cc
2	le	DET	3	det
3	lendemain	NOUN	14	obl:mod
4	matin	NOUN	3	nmod
5	la	DET	7	det
6	petite	ADJ	7	amod
7	saignée	NOUN	14	nsubj
8	de	ADP	10	case
9	30	NUM	10	nummod
10	cm	NOUN	7	nmod
11	de	ADP	12	case
12	fond	NOUN	10	nmod
13	avait	AUX	14	aux:tense
14	fait	VERB	0	root
15	place	NOUN	14	obj:lvc
16	à	ADP	18	case
17	une	DET	18	det
18	brèche	NOUN	14	obl:arg
19	de	ADP	21	case
20	32	NUM	21	nummod
21	mètres	NOUN	18	nmod
22	de	ADP	23	case
23	large	NOUN	21	nmod
24	et	CCONJ	27	cc
25	de	ADP	27	case
26	6	NUM	27	nummod
27	mètres	NOUN	21	conj
28	de	ADP	29	case
29	profondeur	NOUN	27	nmod
30	.	PUNCT	14	punct