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 convient d'avoir à l'esprit l'exemple des limites de vitesse dont l'observation par les automobilistes a pris plus de 100 ans.
Postion	Tokenization
1	Il
2	convient
3	d'
4	avoir
5	à
6	l'
7	esprit
8	l'
9	exemple
10	des
11	de
12	les
13	limites
14	de
15	vitesse
16	dont
17	l'
18	observation
19	par
20	les
21	automobilistes
22	a
23	pris
24	plus
25	de
26	100
27	ans
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	2	expl:subj
2	convient	VERB	0	root
3	d'	ADP	4	mark
4	avoir	VERB	2	csubj
5	à	ADP	7	case
6	l'	DET	7	det
7	esprit	NOUN	4	obl:mod
8	l'	DET	9	det
9	exemple	NOUN	4	obj
10	des	_	None	_
11	de	ADP	12	case
12	les	DET	12	det
13	limites	NOUN	9	nmod
14	de	ADP	14	case
15	vitesse	NOUN	12	nmod
16	dont	PRON	17	nmod
17	l'	DET	17	det
18	observation	NOUN	22	nsubj
19	par	ADP	20	case
20	les	DET	20	det
21	automobilistes	NOUN	17	nmod
22	a	AUX	22	aux:tense
23	pris	VERB	12	acl:relcl
24	plus	ADV	22	obj
25	de	ADP	26	case
26	100	NUM	26	nummod
27	ans	NOUN	23	dep:comp
28	.	PUNCT	2	punct