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:
Here's a story...as I was waiting at the bus stop (7:35am) to go to school, a lady approached me and asked if I'd make sure her daughter got on a certain bus.
Postion	Tokenization
1	Here's
2	Here
3	's
4	a
5	story
6	...
7	as
8	I
9	was
10	waiting
11	at
12	the
13	bus
14	stop
15	(
16	7:35
17	am
18	)
19	to
20	go
21	to
22	school
23	,
24	a
25	lady
26	approached
27	me
28	and
29	asked
30	if
31	I'd
32	I
33	'd
34	make
35	sure
36	her
37	daughter
38	got
39	on
40	a
41	certain
42	bus
43	.
Position	Tokenization	UPOS	Head	Deprel
1	Here's	_	None	_
2	Here	ADV	25	parataxis
3	's	AUX	1	cop
4	a	DET	4	det
5	story	NOUN	1	nsubj
6	...	PUNCT	25	punct
7	as	SCONJ	9	mark
8	I	PRON	9	nsubj
9	was	AUX	9	aux
10	waiting	VERB	25	advcl
11	at	ADP	13	case
12	the	DET	13	det
13	bus	NOUN	13	compound
14	stop	NOUN	9	obl
15	(	PUNCT	16	punct
16	7:35	NUM	16	nummod
17	am	NOUN	9	obl:tmod
18	)	PUNCT	16	punct
19	to	PART	19	mark
20	go	VERB	9	advcl
21	to	ADP	21	case
22	school	NOUN	19	obl
23	,	PUNCT	25	punct
24	a	DET	24	det
25	lady	NOUN	25	nsubj
26	approached	VERB	0	root
27	me	PRON	25	obj
28	and	CCONJ	28	cc
29	asked	VERB	25	conj
30	if	SCONJ	32	mark
31	I'd	_	None	_
32	I	PRON	32	nsubj
33	'd	AUX	32	aux
34	make	VERB	28	advcl
35	sure	ADJ	32	xcomp
36	her	PRON	35	nmod:poss
37	daughter	NOUN	36	nsubj
38	got	VERB	33	ccomp
39	on	ADP	40	case
40	a	DET	40	det
41	certain	ADJ	40	amod
42	bus	NOUN	36	obl
43	.	PUNCT	25	punct