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:
What made it perfect was that they offered transportation so that I would not have to wait there or take time off of work to go back and forth or try to find a ride.
Postion	Tokenization
1	What
2	made
3	it
4	perfect
5	was
6	that
7	they
8	offered
9	transportation
10	so
11	that
12	I
13	would
14	not
15	have
16	to
17	wait
18	there
19	or
20	take
21	time
22	off
23	of
24	work
25	to
26	go
27	back
28	and
29	forth
30	or
31	try
32	to
33	find
34	a
35	ride
36	.
Position	Tokenization	UPOS	Head	Deprel
1	What	PRON	2	nsubj
2	made	VERB	5	csubj
3	it	PRON	2	obj
4	perfect	ADJ	2	xcomp
5	was	VERB	0	root
6	that	SCONJ	8	mark
7	they	PRON	8	nsubj
8	offered	VERB	5	ccomp
9	transportation	NOUN	8	obj
10	so	SCONJ	15	mark
11	that	SCONJ	10	fixed
12	I	PRON	15	nsubj
13	would	AUX	15	aux
14	not	PART	15	advmod
15	have	VERB	8	advcl
16	to	PART	17	mark
17	wait	VERB	15	xcomp
18	there	ADV	17	advmod
19	or	CCONJ	20	cc
20	take	VERB	17	conj
21	time	NOUN	20	obj
22	off	ADP	24	case
23	of	ADP	24	case
24	work	NOUN	20	obl
25	to	PART	26	mark
26	go	VERB	20	advcl
27	back	ADV	26	advmod
28	and	CCONJ	29	cc
29	forth	ADV	27	conj
30	or	CCONJ	31	cc
31	try	VERB	17	conj
32	to	PART	33	mark
33	find	VERB	31	xcomp
34	a	DET	35	det
35	ride	NOUN	33	obj
36	.	PUNCT	5	punct