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 professeur émérite à l'Université de Floride et continue d'écrire, d'enseigner à travers le monde et de faire des consultances.
Postion	Tokenization
1	Il
2	est
3	professeur
4	émérite
5	à
6	l'
7	Université
8	de
9	Floride
10	et
11	continue
12	d'
13	écrire
14	,
15	d'
16	enseigner
17	à
18	travers
19	le
20	monde
21	et
22	de
23	faire
24	des
25	consultances
26	.
Position	Tokenization	UPOS	Head	Deprel
1	Il	PRON	3	nsubj
2	est	AUX	3	cop
3	professeur	NOUN	0	root
4	émérite	ADJ	3	amod
5	à	ADP	7	case
6	l'	DET	7	det
7	Université	NOUN	3	nmod
8	de	ADP	9	case
9	Floride	PROPN	7	nmod
10	et	CCONJ	11	cc
11	continue	VERB	3	conj
12	d'	ADP	13	mark
13	écrire	VERB	11	xcomp:obj
14	,	PUNCT	16	punct
15	d'	ADP	16	mark
16	enseigner	VERB	13	conj
17	à	ADP	20	case
18	travers	NOUN	17	fixed
19	le	DET	20	det
20	monde	NOUN	16	obl:mod
21	et	CCONJ	23	cc
22	de	ADP	23	mark
23	faire	VERB	13	conj
24	des	DET	25	det
25	consultances	NOUN	23	obj
26	.	PUNCT	3	punct