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:
In any case, we have had some more time to do some exploring (and shopping), so we have some good ideas about what to do if you come.
Postion	Tokenization
1	In
2	any
3	case
4	,
5	we
6	have
7	had
8	some
9	more
10	time
11	to
12	do
13	some
14	exploring
15	(
16	and
17	shopping
18	)
19	,
20	so
21	we
22	have
23	some
24	good
25	ideas
26	about
27	what
28	to
29	do
30	if
31	you
32	come
33	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	3	case
2	any	DET	3	det
3	case	NOUN	7	obl
4	,	PUNCT	7	punct
5	we	PRON	7	nsubj
6	have	AUX	7	aux
7	had	VERB	0	root
8	some	DET	10	det
9	more	ADJ	10	amod
10	time	NOUN	7	obj
11	to	PART	12	mark
12	do	VERB	10	acl
13	some	DET	14	det
14	exploring	NOUN	12	obj
15	(	PUNCT	14	punct
16	and	CCONJ	17	cc
17	shopping	NOUN	14	conj
18	)	PUNCT	17	punct
19	,	PUNCT	7	punct
20	so	ADV	22	advmod
21	we	PRON	22	nsubj
22	have	VERB	7	parataxis
23	some	DET	25	det
24	good	ADJ	25	amod
25	ideas	NOUN	22	obj
26	about	SCONJ	29	mark
27	what	PRON	29	nsubj
28	to	PART	29	mark
29	do	VERB	25	acl
30	if	SCONJ	32	mark
31	you	PRON	32	nsubj
32	come	VERB	29	advcl
33	.	PUNCT	7	punct