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:
Après avoir suivi quelques cours à Palerme et à Rome, Mosca devient professeur de droit constitutionnel à l'université de Turin en 1896.
Postion	Tokenization
1	Après
2	avoir
3	suivi
4	quelques
5	cours
6	à
7	Palerme
8	et
9	à
10	Rome
11	,
12	Mosca
13	devient
14	professeur
15	de
16	droit
17	constitutionnel
18	à
19	l'
20	université
21	de
22	Turin
23	en
24	1896
25	.
Position	Tokenization	UPOS	Head	Deprel
1	Après	ADP	3	mark
2	avoir	AUX	3	aux:tense
3	suivi	VERB	13	advcl
4	quelques	DET	5	det
5	cours	NOUN	3	obj
6	à	ADP	7	case
7	Palerme	PROPN	3	obl:mod
8	et	CCONJ	10	cc
9	à	ADP	10	case
10	Rome	PROPN	7	conj
11	,	PUNCT	3	punct
12	Mosca	PROPN	13	nsubj
13	devient	VERB	0	root
14	professeur	NOUN	13	xcomp:pred
15	de	ADP	16	case
16	droit	NOUN	14	nmod
17	constitutionnel	ADJ	16	amod
18	à	ADP	20	case
19	l'	DET	20	det
20	université	NOUN	13	obl:mod
21	de	ADP	22	case
22	Turin	PROPN	20	nmod
23	en	ADP	24	case
24	1896	NUM	13	obl:mod
25	.	PUNCT	13	punct