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:
The new Centre has 4 studios planned and now boasts the largest single dance floor area in Kingston upon Hull.
Postion	Tokenization
1	The
2	new
3	Centre
4	has
5	4
6	studios
7	planned
8	and
9	now
10	boasts
11	the
12	largest
13	single
14	dance
15	floor
16	area
17	in
18	Kingston
19	upon
20	Hull
21	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	new	ADJ	3	amod
3	Centre	PROPN	4	nsubj
4	has	VERB	0	root
5	4	NUM	6	nummod
6	studios	NOUN	4	obj
7	planned	VERB	6	acl
8	and	CCONJ	10	cc
9	now	ADV	10	advmod
10	boasts	VERB	4	conj
11	the	DET	16	det
12	largest	ADJ	16	amod
13	single	ADJ	16	amod
14	dance	NOUN	15	compound
15	floor	NOUN	16	compound
16	area	NOUN	10	obj
17	in	ADP	18	case
18	Kingston	PROPN	16	nmod
19	upon	ADP	20	case
20	Hull	PROPN	18	nmod
21	.	PUNCT	4	punct