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's funny, because usually it's just me, Mom, Craig and Danelia, and Danelia doesn't really like roasted turkey or roast beef (not that she would say it to me!), so there is not just the same joy in cooking it would be elsewise.
Postion	Tokenization
1	It's
2	It
3	's
4	funny
5	,
6	because
7	usually
8	it's
9	it
10	's
11	just
12	me
13	,
14	Mom
15	,
16	Craig
17	and
18	Danelia
19	,
20	and
21	Danelia
22	doesn't
23	does
24	n't
25	really
26	like
27	roasted
28	turkey
29	or
30	roast
31	beef
32	(
33	not
34	that
35	she
36	would
37	say
38	it
39	to
40	me
41	!
42	)
43	,
44	so
45	there
46	is
47	not
48	just
49	the
50	same
51	joy
52	in
53	cooking
54	it
55	would
56	be
57	elsewise
58	.
Position	Tokenization	UPOS	Head	Deprel
1	It's	_	None	_
2	It	PRON	3	nsubj
3	's	AUX	3	cop
4	funny	ADJ	0	root
5	,	PUNCT	3	punct
6	because	SCONJ	10	mark
7	usually	ADV	10	advmod
8	it's	_	None	_
9	it	PRON	10	nsubj
10	's	AUX	10	cop
11	just	ADV	10	advmod
12	me	PRON	3	advcl
13	,	PUNCT	12	punct
14	Mom	NOUN	10	conj
15	,	PUNCT	14	punct
16	Craig	PROPN	10	conj
17	and	CCONJ	16	cc
18	Danelia	PROPN	10	conj
19	,	PUNCT	23	punct
20	and	CCONJ	23	cc
21	Danelia	PROPN	23	nsubj
22	doesn't	_	None	_
23	does	AUX	23	aux
24	n't	PART	23	advmod
25	really	ADV	23	advmod
26	like	VERB	10	conj
27	roasted	VERB	25	amod
28	turkey	NOUN	23	obj
29	or	CCONJ	28	cc
30	roast	ADJ	28	amod
31	beef	NOUN	25	conj
32	(	PUNCT	30	punct
33	not	PART	34	advmod
34	that	SCONJ	34	mark
35	she	PRON	34	nsubj
36	would	AUX	34	aux
37	say	VERB	23	parataxis
38	it	PRON	34	obj
39	to	ADP	37	case
40	me	PRON	34	obl
41	!	PUNCT	34	punct
42	)	PUNCT	30	punct
43	,	PUNCT	10	punct
44	so	ADV	43	advmod
45	there	PRON	43	expl
46	is	VERB	10	parataxis
47	not	PART	43	advmod
48	just	ADV	43	advmod
49	the	DET	48	det
50	same	ADJ	48	amod
51	joy	NOUN	43	nsubj
52	in	ADP	50	case
53	cooking	NOUN	48	nmod
54	it	PRON	54	nsubj
55	would	AUX	54	aux
56	be	AUX	54	cop
57	elsewise	ADV	48	acl:relcl
58	.	PUNCT	3	punct