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:
This is however a very busy shop but there are appointments available & the staff up front will surely make sure you get back in a timely manner.
Postion	Tokenization
1	This
2	is
3	however
4	a
5	very
6	busy
7	shop
8	but
9	there
10	are
11	appointments
12	available
13	&
14	the
15	staff
16	up
17	front
18	will
19	surely
20	make
21	sure
22	you
23	get
24	back
25	in
26	a
27	timely
28	manner
29	.
Position	Tokenization	UPOS	Head	Deprel
1	This	PRON	7	nsubj
2	is	AUX	7	cop
3	however	ADV	7	advmod
4	a	DET	7	det
5	very	ADV	6	advmod
6	busy	ADJ	7	amod
7	shop	NOUN	0	root
8	but	CCONJ	10	cc
9	there	PRON	10	expl
10	are	VERB	7	conj
11	appointments	NOUN	10	nsubj
12	available	ADJ	11	amod
13	&	CCONJ	20	cc
14	the	DET	15	det
15	staff	NOUN	20	nsubj
16	up	ADP	17	case
17	front	NOUN	15	nmod
18	will	AUX	20	aux
19	surely	ADV	20	advmod
20	make	VERB	10	conj
21	sure	ADJ	20	xcomp
22	you	PRON	23	nsubj
23	get	VERB	21	ccomp
24	back	ADV	23	advmod
25	in	ADP	28	case
26	a	DET	28	det
27	timely	ADJ	28	amod
28	manner	NOUN	23	obl
29	.	PUNCT	7	punct