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've been to this shop twice (once for an inspection and again for an oil change) and they truly live up to their name: Discount!
Postion	Tokenization
1	I've
2	I
3	've
4	been
5	to
6	this
7	shop
8	twice
9	(
10	once
11	for
12	an
13	inspection
14	and
15	again
16	for
17	an
18	oil
19	change
20	)
21	and
22	they
23	truly
24	live
25	up
26	to
27	their
28	name
29	:
30	Discount
31	!
Position	Tokenization	UPOS	Head	Deprel
1	I've	_	None	_
2	I	PRON	6	nsubj
3	've	AUX	6	aux
4	been	AUX	6	cop
5	to	ADP	6	case
6	this	DET	6	det
7	shop	NOUN	0	root
8	twice	ADV	6	advmod
9	(	PUNCT	9	punct
10	once	ADV	6	parataxis
11	for	ADP	12	case
12	an	DET	12	det
13	inspection	NOUN	9	obl
14	and	CCONJ	14	cc
15	again	ADV	9	conj
16	for	ADP	18	case
17	an	DET	18	det
18	oil	NOUN	18	compound
19	change	NOUN	14	obl
20	)	PUNCT	9	punct
21	and	CCONJ	23	cc
22	they	PRON	23	nsubj
23	truly	ADV	23	advmod
24	live	VERB	6	conj
25	up	ADP	23	compound:prt
26	to	ADP	27	case
27	their	PRON	27	nmod:poss
28	name	NOUN	23	obl
29	:	PUNCT	27	punct
30	Discount	PROPN	27	appos
31	!	PUNCT	6	punct