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:
Le texte réglemente la recherche sur les maladies touchant l'être humain ainsi que sur la constitution et les fonctions du corps humain.
Postion	Tokenization
1	Le
2	texte
3	réglemente
4	la
5	recherche
6	sur
7	les
8	maladies
9	touchant
10	l'
11	être
12	humain
13	ainsi
14	que
15	sur
16	la
17	constitution
18	et
19	les
20	fonctions
21	du
22	de
23	le
24	corps
25	humain
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Le	DET	2	det
2	texte	NOUN	3	nsubj
3	réglemente	VERB	0	root
4	la	DET	5	det
5	recherche	NOUN	3	obj
6	sur	ADP	8	case
7	les	DET	8	det
8	maladies	NOUN	5	nmod
9	touchant	VERB	8	acl
10	l'	DET	11	det
11	être	NOUN	9	obj
12	humain	ADJ	11	amod
13	ainsi	ADV	17	cc
14	que	SCONJ	13	fixed
15	sur	ADP	17	case
16	la	DET	17	det
17	constitution	NOUN	8	conj
18	et	CCONJ	20	cc
19	les	DET	20	det
20	fonctions	NOUN	17	conj
21	du	_	None	_
22	de	ADP	23	case
23	le	DET	23	det
24	corps	NOUN	8	nmod
25	humain	ADJ	23	amod
26	.	PUNCT	3	punct