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:
(ps. I'm assuming you'll stop off in Wellington, and since its summer, may I recommend kaffee eis ice creams and gelatos?
Postion	Tokenization
1	(
2	ps.
3	I'm
4	I
5	'm
6	assuming
7	you'll
8	you
9	'll
10	stop
11	off
12	in
13	Wellington
14	,
15	and
16	since
17	its
18	it
19	s
20	summer
21	,
22	may
23	I
24	recommend
25	kaffee
26	eis
27	ice
28	creams
29	and
30	gelatos
31	?
Position	Tokenization	UPOS	Head	Deprel
1	(	PUNCT	2	punct
2	ps.	NOUN	0	root
3	I'm	_	None	_
4	I	PRON	5	nsubj
5	'm	AUX	5	aux
6	assuming	VERB	2	appos
7	you'll	_	None	_
8	you	PRON	8	nsubj
9	'll	AUX	8	aux
10	stop	VERB	5	ccomp
11	off	ADP	8	compound:prt
12	in	ADP	11	case
13	Wellington	PROPN	8	obl
14	,	PUNCT	21	punct
15	and	CCONJ	21	cc
16	since	SCONJ	17	mark
17	its	_	None	_
18	it	PRON	17	nsubj
19	s	AUX	17	cop
20	summer	NOUN	21	advcl
21	,	PUNCT	21	punct
22	may	AUX	21	aux
23	I	PRON	21	nsubj
24	recommend	VERB	5	conj
25	kaffee	PROPN	23	compound
26	eis	PROPN	25	compound
27	ice	PROPN	25	compound
28	creams	PROPN	21	obj
29	and	CCONJ	27	cc
30	gelatos	PROPN	25	conj
31	?	PUNCT	2	punct