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:
I will 4-ever be eternally grateful for their hospitality and luv that my Sicilian family showed me when I was there for 3 years.
Postion	Tokenization
1	I
2	will
3	4
4	-
5	ever
6	be
7	eternally
8	grateful
9	for
10	their
11	hospitality
12	and
13	luv
14	that
15	my
16	Sicilian
17	family
18	showed
19	me
20	when
21	I
22	was
23	there
24	for
25	3
26	years
27	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	8	nsubj
2	will	AUX	8	aux
3	4	X	5	goeswith
4	-	PUNCT	5	punct
5	ever	ADV	8	advmod
6	be	AUX	8	cop
7	eternally	ADV	8	advmod
8	grateful	ADJ	0	root
9	for	ADP	11	case
10	their	PRON	11	nmod:poss
11	hospitality	NOUN	8	obl
12	and	CCONJ	13	cc
13	luv	NOUN	11	conj
14	that	PRON	18	obj
15	my	PRON	17	nmod:poss
16	Sicilian	ADJ	17	amod
17	family	NOUN	18	nsubj
18	showed	VERB	11	acl:relcl
19	me	PRON	18	obj
20	when	SCONJ	23	mark
21	I	PRON	23	nsubj
22	was	AUX	23	cop
23	there	ADV	18	advcl
24	for	ADP	26	case
25	3	NUM	26	nummod
26	years	NOUN	23	obl
27	.	PUNCT	8	punct