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:
One man's relentless search for his missing son led him to uncover one of the most shocking crimes in post-war Italy - a tale of satanism and violence that has gripped the country for more than a year.
Postion	Tokenization
1	One
2	man's
3	man
4	's
5	relentless
6	search
7	for
8	his
9	missing
10	son
11	led
12	him
13	to
14	uncover
15	one
16	of
17	the
18	most
19	shocking
20	crimes
21	in
22	post-war
23	Italy
24	-
25	a
26	tale
27	of
28	satanism
29	and
30	violence
31	that
32	has
33	gripped
34	the
35	country
36	for
37	more
38	than
39	a
40	year
41	.
Position	Tokenization	UPOS	Head	Deprel
1	One	NUM	2	nummod
2	man's	_	None	_
3	man	NOUN	5	nmod:poss
4	's	PART	2	case
5	relentless	ADJ	5	amod
6	search	NOUN	10	nsubj
7	for	ADP	9	case
8	his	PRON	9	nmod:poss
9	missing	ADJ	9	amod
10	son	NOUN	5	nmod
11	led	VERB	0	root
12	him	PRON	10	obj
13	to	PART	13	mark
14	uncover	VERB	10	xcomp
15	one	NUM	13	obj
16	of	ADP	19	case
17	the	DET	19	det
18	most	ADV	18	advmod
19	shocking	ADJ	19	amod
20	crimes	NOUN	14	nmod
21	in	ADP	22	case
22	post-war	ADJ	22	amod
23	Italy	PROPN	19	nmod
24	-	PUNCT	14	punct
25	a	DET	25	det
26	tale	NOUN	14	appos
27	of	ADP	27	case
28	satanism	PROPN	25	nmod
29	and	CCONJ	29	cc
30	violence	NOUN	27	conj
31	that	PRON	32	nsubj
32	has	AUX	32	aux
33	gripped	VERB	25	acl:relcl
34	the	DET	34	det
35	country	NOUN	32	obj
36	for	ADP	39	case
37	more	ADJ	39	advmod
38	than	ADP	36	fixed
39	a	DET	39	det
40	year	NOUN	32	obl
41	.	PUNCT	10	punct