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:
He was less than half of the price of the cheapest quote we got, and his work was top notch.
Postion	Tokenization
1	He
2	was
3	less
4	than
5	half
6	of
7	the
8	price
9	of
10	the
11	cheapest
12	quote
13	we
14	got
15	,
16	and
17	his
18	work
19	was
20	top
21	notch
22	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	5	nsubj
2	was	AUX	5	cop
3	less	ADJ	5	advmod
4	than	ADP	3	fixed
5	half	NOUN	0	root
6	of	ADP	8	case
7	the	DET	8	det
8	price	NOUN	5	nmod
9	of	ADP	12	case
10	the	DET	12	det
11	cheapest	ADJ	12	amod
12	quote	NOUN	8	nmod
13	we	PRON	14	nsubj
14	got	VERB	12	acl:relcl
15	,	PUNCT	21	punct
16	and	CCONJ	21	cc
17	his	PRON	18	nmod:poss
18	work	NOUN	21	nsubj
19	was	AUX	21	cop
20	top	ADJ	21	compound
21	notch	NOUN	5	conj
22	.	PUNCT	5	punct