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:
Don't waste time, just drive 10 minutes more down to Stevens Creek, they actually do try to help their customers there!
Postion	Tokenization
1	Don't
2	Do
3	n't
4	waste
5	time
6	,
7	just
8	drive
9	10
10	minutes
11	more
12	down
13	to
14	Stevens
15	Creek
16	,
17	they
18	actually
19	do
20	try
21	to
22	help
23	their
24	customers
25	there
26	!
Position	Tokenization	UPOS	Head	Deprel
1	Don't	_	None	_
2	Do	AUX	3	aux
3	n't	PART	3	advmod
4	waste	VERB	0	root
5	time	NOUN	3	obj
6	,	PUNCT	3	punct
7	just	ADV	7	advmod
8	drive	VERB	3	parataxis
9	10	NUM	9	nummod
10	minutes	NOUN	10	obl:npmod
11	more	ADV	7	advmod
12	down	ADV	7	advmod
13	to	ADP	14	case
14	Stevens	PROPN	14	compound
15	Creek	PROPN	11	obl
16	,	PUNCT	3	punct
17	they	PRON	19	nsubj
18	actually	ADV	19	parataxis
19	do	AUX	19	aux
20	try	VERB	3	ccomp
21	to	PART	21	mark
22	help	VERB	19	xcomp
23	their	PRON	23	nmod:poss
24	customers	NOUN	21	obj
25	there	ADV	19	advmod
26	!	PUNCT	3	punct