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:
Michele Tollis, Fabio's father, began to attend metal concerts and festivals across Europe, handing out leaflets and quizzing Fabio's friends.
Postion	Tokenization
1	Michele
2	Tollis
3	,
4	Fabio's
5	Fabio
6	's
7	father
8	,
9	began
10	to
11	attend
12	metal
13	concerts
14	and
15	festivals
16	across
17	Europe
18	,
19	handing
20	out
21	leaflets
22	and
23	quizzing
24	Fabio's
25	Fabio
26	's
27	friends
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Michele	PROPN	8	nsubj
2	Tollis	PROPN	1	flat
3	,	PUNCT	1	punct
4	Fabio's	_	None	_
5	Fabio	PROPN	6	nmod:poss
6	's	PART	4	case
7	father	NOUN	1	appos
8	,	PUNCT	8	punct
9	began	VERB	0	root
10	to	PART	10	mark
11	attend	VERB	8	xcomp
12	metal	NOUN	12	compound
13	concerts	NOUN	10	obj
14	and	CCONJ	14	cc
15	festivals	NOUN	12	conj
16	across	ADP	16	case
17	Europe	PROPN	12	nmod
18	,	PUNCT	10	punct
19	handing	VERB	10	advcl
20	out	ADP	18	compound:prt
21	leaflets	NOUN	18	obj
22	and	CCONJ	22	cc
23	quizzing	VERB	18	conj
24	Fabio's	_	None	_
25	Fabio	PROPN	25	nmod:poss
26	's	PART	23	case
27	friends	NOUN	22	obj
28	.	PUNCT	8	punct