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 Irish weather works on the ‘four seasons in a day’ principle, which basic­ally means that you can’t predict a thing when it comes to the behaviour of the sky.
Postion	Tokenization
1	The
2	Irish
3	weather
4	works
5	on
6	the
7	‘
8	four
9	seasons
10	in
11	a
12	day
13	’
14	principle
15	,
16	which
17	basic­ally
18	means
19	that
20	you
21	can’t
22	ca
23	n’t
24	predict
25	a
26	thing
27	when
28	it
29	comes
30	to
31	the
32	behaviour
33	of
34	the
35	sky
36	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	Irish	ADJ	3	amod
3	weather	NOUN	4	nsubj
4	works	VERB	0	root
5	on	ADP	14	case
6	the	DET	14	det
7	‘	PUNCT	9	punct
8	four	NUM	9	nummod
9	seasons	NOUN	14	appos
10	in	ADP	12	case
11	a	DET	12	det
12	day	NOUN	9	nmod
13	’	PUNCT	9	punct
14	principle	NOUN	4	obl
15	,	PUNCT	14	punct
16	which	PRON	18	nsubj
17	basic­ally	ADV	18	advmod
18	means	VERB	14	acl:relcl
19	that	SCONJ	23	mark
20	you	PRON	23	nsubj
21	can’t	_	None	_
22	ca	AUX	23	aux
23	n’t	PART	23	advmod
24	predict	VERB	18	ccomp
25	a	DET	25	det
26	thing	NOUN	23	obj
27	when	SCONJ	28	mark
28	it	PRON	28	expl
29	comes	VERB	23	advcl
30	to	ADP	31	case
31	the	DET	31	det
32	behaviour	NOUN	28	obl
33	of	ADP	34	case
34	the	DET	34	det
35	sky	NOUN	31	nmod
36	.	PUNCT	4	punct