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:
My pharmacy order is always correct and promptly delivered but the pharmacy staff are always very short with me and don't seem to like answering questions.
Postion	Tokenization
1	My
2	pharmacy
3	order
4	is
5	always
6	correct
7	and
8	promptly
9	delivered
10	but
11	the
12	pharmacy
13	staff
14	are
15	always
16	very
17	short
18	with
19	me
20	and
21	don't
22	do
23	n't
24	seem
25	to
26	like
27	answering
28	questions
29	.
Position	Tokenization	UPOS	Head	Deprel
1	My	PRON	3	nmod:poss
2	pharmacy	NOUN	3	compound
3	order	NOUN	6	nsubj:pass
4	is	VERB	6	aux:pass
5	always	ADV	6	advmod
6	correct	ADJ	0	root
7	and	CCONJ	9	cc
8	promptly	ADV	9	advmod
9	delivered	VERB	6	conj
10	but	CCONJ	17	cc
11	the	DET	13	det
12	pharmacy	NOUN	13	compound
13	staff	NOUN	17	nsubj
14	are	AUX	17	cop
15	always	ADV	17	advmod
16	very	ADV	17	advmod
17	short	ADJ	6	conj
18	with	ADP	19	case
19	me	PRON	17	obl
20	and	CCONJ	23	cc
21	don't	_	None	_
22	do	AUX	23	aux
23	n't	PART	23	advmod
24	seem	VERB	17	conj
25	to	PART	25	mark
26	like	VERB	23	xcomp
27	answering	VERB	25	xcomp
28	questions	NOUN	26	obj
29	.	PUNCT	6	punct