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:
so i live in Invercargill New Zealand and i want to know if there are any good places to buy an ice-cream sundae from other than mc donalds lol
Postion	Tokenization
1	so
2	i
3	live
4	in
5	Invercargill
6	New
7	Zealand
8	and
9	i
10	want
11	to
12	know
13	if
14	there
15	are
16	any
17	good
18	places
19	to
20	buy
21	an
22	ice
23	-
24	cream
25	sundae
26	from
27	other
28	than
29	mc
30	donalds
31	donald
32	s
33	lol
Position	Tokenization	UPOS	Head	Deprel
1	so	ADV	3	advmod
2	i	PRON	3	nsubj
3	live	VERB	0	root
4	in	ADP	5	case
5	Invercargill	PROPN	3	obl
6	New	PROPN	7	compound
7	Zealand	PROPN	5	compound
8	and	CCONJ	10	cc
9	i	PRON	10	nsubj
10	want	VERB	3	conj
11	to	PART	12	mark
12	know	VERB	10	xcomp
13	if	SCONJ	15	mark
14	there	PRON	15	expl
15	are	VERB	12	advcl
16	any	DET	18	det
17	good	ADJ	18	amod
18	places	NOUN	15	nsubj
19	to	PART	20	mark
20	buy	VERB	18	acl
21	an	DET	25	det
22	ice	NOUN	24	compound
23	-	PUNCT	24	punct
24	cream	NOUN	25	compound
25	sundae	NOUN	20	obj
26	from	ADP	20	obl
27	other	ADJ	18	amod
28	than	ADP	30	case
29	mc	PROPN	30	compound
30	donalds	_	None	_
31	donald	PROPN	27	obl
32	s	PART	30	case
33	lol	INTJ	12	discourse