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:
Very affordable (don't call it cheap) and their trimmers were quick and courteous when I got home from work.
Postion	Tokenization
1	Very
2	affordable
3	(
4	do
5	n't
6	call
7	it
8	cheap
9	)
10	and
11	their
12	trimmers
13	were
14	quick
15	and
16	courteous
17	when
18	I
19	got
20	home
21	from
22	work
23	.
Position	Tokenization	UPOS	Head	Deprel
1	Very	ADV	2	advmod
2	affordable	ADJ	0	root
3	(	PUNCT	6	punct
4	do	AUX	6	aux
5	n't	PART	6	advmod
6	call	VERB	2	parataxis
7	it	PRON	6	obj
8	cheap	ADJ	6	xcomp
9	)	PUNCT	6	punct
10	and	CCONJ	14	cc
11	their	PRON	12	nmod:poss
12	trimmers	NOUN	14	nsubj
13	were	AUX	14	cop
14	quick	ADJ	2	conj
15	and	CCONJ	16	cc
16	courteous	ADJ	14	conj
17	when	SCONJ	19	mark
18	I	PRON	19	nsubj
19	got	VERB	14	advcl
20	home	ADV	19	advmod
21	from	ADP	22	case
22	work	NOUN	19	obl
23	.	PUNCT	2	punct