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 kebab shop is one of the best around the meat is good and fresh and the chilly sauce is the best, keep them lovely kebabs coming and a happy new year to all the staff
Postion	Tokenization
1	this
2	kebab
3	shop
4	is
5	one
6	of
7	the
8	best
9	around
10	the
11	meat
12	is
13	good
14	and
15	fresh
16	and
17	the
18	chilly
19	sauce
20	is
21	the
22	best
23	,
24	keep
25	them
26	lovely
27	kebabs
28	coming
29	and
30	a
31	happy
32	new
33	year
34	to
35	all
36	the
37	staff
Position	Tokenization	UPOS	Head	Deprel
1	this	DET	3	det
2	kebab	NOUN	3	compound
3	shop	NOUN	5	nsubj
4	is	AUX	5	cop
5	one	NUM	0	root
6	of	ADP	8	case
7	the	DET	8	det
8	best	ADJ	5	nmod
9	around	ADV	8	advmod
10	the	DET	11	det
11	meat	NOUN	13	nsubj
12	is	AUX	13	cop
13	good	ADJ	5	parataxis
14	and	CCONJ	15	cc
15	fresh	ADJ	13	conj
16	and	CCONJ	22	cc
17	the	DET	19	det
18	chilly	NOUN	19	compound
19	sauce	NOUN	22	nsubj
20	is	AUX	22	cop
21	the	DET	22	det
22	best	ADJ	13	conj
23	,	PUNCT	5	punct
24	keep	VERB	5	parataxis
25	them	PRON	27	det
26	lovely	ADJ	27	amod
27	kebabs	NOUN	24	obj
28	coming	VERB	24	xcomp
29	and	CCONJ	33	cc
30	a	DET	33	det
31	happy	ADJ	33	amod
32	new	ADJ	33	amod
33	year	NOUN	24	conj
34	to	ADP	37	case
35	all	DET	37	det:predet
36	the	DET	37	det
37	staff	NOUN	33	nmod