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:
Du Bois-Reymond, en tentant de reproduire les expériences de Matteucci, fera plus tard la découverte du potentiel d'action des nerfs.
Postion	Tokenization
1	Du
2	de
3	le
4	Bois
5	-
6	Reymond
7	,
8	en
9	tentant
10	de
11	reproduire
12	les
13	expériences
14	de
15	Matteucci
16	,
17	fera
18	plus
19	tard
20	la
21	découverte
22	du
23	de
24	le
25	potentiel
26	d'
27	action
28	des
29	de
30	les
31	nerfs
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Du	_	None	_
2	de	ADP	3	case
3	le	DET	3	det
4	Bois	PROPN	16	nsubj
5	-	PUNCT	5	punct
6	Reymond	PROPN	3	flat:name
7	,	PUNCT	3	punct
8	en	ADP	8	mark
9	tentant	VERB	16	advcl
10	de	ADP	10	mark
11	reproduire	VERB	8	xcomp:obj
12	les	DET	12	det
13	expériences	NOUN	10	obj
14	de	ADP	14	case
15	Matteucci	PROPN	12	nmod
16	,	PUNCT	8	punct
17	fera	VERB	0	root
18	plus	ADV	18	advmod
19	tard	ADV	16	advmod
20	la	DET	20	det
21	découverte	NOUN	16	obj
22	du	_	None	_
23	de	ADP	23	case
24	le	DET	23	det
25	potentiel	NOUN	20	nmod
26	d'	ADP	25	case
27	action	NOUN	23	nmod
28	des	_	None	_
29	de	ADP	28	case
30	les	DET	28	det
31	nerfs	NOUN	23	nmod
32	.	PUNCT	16	punct