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:
It has to be one of the nicest pubs that i have been into in a long time, the decor is nice and it has a really nice garden and a lovely decking area.
Postion	Tokenization
1	It
2	has
3	to
4	be
5	one
6	of
7	the
8	nicest
9	pubs
10	that
11	i
12	have
13	been
14	into
15	in
16	a
17	long
18	time
19	,
20	the
21	decor
22	is
23	nice
24	and
25	it
26	has
27	a
28	really
29	nice
30	garden
31	and
32	a
33	lovely
34	decking
35	area
36	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	2	nsubj
2	has	VERB	0	root
3	to	PART	5	mark
4	be	AUX	5	cop
5	one	NUM	2	xcomp
6	of	ADP	9	case
7	the	DET	9	det
8	nicest	ADJ	9	amod
9	pubs	NOUN	5	nmod
10	that	PRON	9	acl:relcl
11	i	PRON	10	nsubj
12	have	AUX	10	aux
13	been	AUX	10	cop
14	into	ADP	10	case
15	in	ADP	18	case
16	a	DET	18	det
17	long	ADJ	18	amod
18	time	NOUN	10	obl
19	,	PUNCT	2	punct
20	the	DET	21	det
21	decor	NOUN	23	nsubj
22	is	AUX	23	cop
23	nice	ADJ	2	parataxis
24	and	CCONJ	26	cc
25	it	PRON	26	nsubj
26	has	VERB	23	conj
27	a	DET	30	det
28	really	ADV	29	advmod
29	nice	ADJ	30	amod
30	garden	NOUN	26	obj
31	and	CCONJ	35	cc
32	a	DET	35	det
33	lovely	ADJ	35	amod
34	decking	NOUN	35	compound
35	area	NOUN	30	conj
36	.	PUNCT	2	punct