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:
From the amount of time spent with us to explain things during the initial quote, to the communication through the approval process to the actual workmanship of the build itself.
Postion	Tokenization
1	From
2	the
3	amount
4	of
5	time
6	spent
7	with
8	us
9	to
10	explain
11	things
12	during
13	the
14	initial
15	quote
16	,
17	to
18	the
19	communication
20	through
21	the
22	approval
23	process
24	to
25	the
26	actual
27	workmanship
28	of
29	the
30	build
31	itself
32	.
Position	Tokenization	UPOS	Head	Deprel
1	From	ADP	3	case
2	the	DET	3	det
3	amount	NOUN	0	root
4	of	ADP	5	case
5	time	NOUN	3	nmod
6	spent	VERB	3	acl
7	with	ADP	8	case
8	us	PRON	6	obl
9	to	PART	10	mark
10	explain	VERB	6	advcl
11	things	NOUN	10	obj
12	during	ADP	15	case
13	the	DET	15	det
14	initial	ADJ	15	amod
15	quote	NOUN	6	obl
16	,	PUNCT	3	punct
17	to	ADP	19	case
18	the	DET	19	det
19	communication	NOUN	3	nmod
20	through	ADP	23	case
21	the	DET	23	det
22	approval	NOUN	23	compound
23	process	NOUN	19	nmod
24	to	ADP	27	case
25	the	DET	27	det
26	actual	ADJ	27	amod
27	workmanship	NOUN	3	nmod
28	of	ADP	30	case
29	the	DET	30	det
30	build	NOUN	27	nmod
31	itself	PRON	30	nmod:npmod
32	.	PUNCT	3	punct