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:
Actually, I think we are in pretty good shape so I will probably be doing lunch but just don't be too mad if I have to cancel.
Postion	Tokenization
1	Actually
2	,
3	I
4	think
5	we
6	are
7	in
8	pretty
9	good
10	shape
11	so
12	I
13	will
14	probably
15	be
16	doing
17	lunch
18	but
19	just
20	don't
21	do
22	n't
23	be
24	too
25	mad
26	if
27	I
28	have
29	to
30	cancel
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Actually	ADV	4	advmod
2	,	PUNCT	4	punct
3	I	PRON	4	nsubj
4	think	VERB	0	root
5	we	PRON	10	nsubj
6	are	AUX	10	cop
7	in	ADP	10	case
8	pretty	ADV	9	advmod
9	good	ADJ	10	amod
10	shape	NOUN	4	ccomp
11	so	ADV	16	advmod
12	I	PRON	16	nsubj
13	will	AUX	16	aux
14	probably	ADV	16	advmod
15	be	AUX	16	aux
16	doing	VERB	4	conj
17	lunch	NOUN	16	obj
18	but	CCONJ	24	cc
19	just	ADV	24	advmod
20	don't	_	None	_
21	do	AUX	24	aux
22	n't	PART	24	advmod
23	be	AUX	24	cop
24	too	ADV	24	advmod
25	mad	ADJ	4	conj
26	if	SCONJ	27	mark
27	I	PRON	27	nsubj
28	have	VERB	24	advcl
29	to	PART	29	mark
30	cancel	VERB	27	xcomp
31	.	PUNCT	4	punct