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:
There is a corporate data sheet for this company, but this entity seems to have been inactive since it's creation.
Postion	Tokenization
1	There
2	is
3	a
4	corporate
5	data
6	sheet
7	for
8	this
9	company
10	,
11	but
12	this
13	entity
14	seems
15	to
16	have
17	been
18	inactive
19	since
20	it's
21	it
22	's
23	creation
24	.
Position	Tokenization	UPOS	Head	Deprel
1	There	PRON	2	expl
2	is	VERB	0	root
3	a	DET	6	det
4	corporate	ADJ	6	amod
5	data	NOUN	6	compound
6	sheet	NOUN	2	nsubj
7	for	ADP	9	case
8	this	DET	9	det
9	company	NOUN	6	nmod
10	,	PUNCT	14	punct
11	but	CCONJ	14	cc
12	this	DET	13	det
13	entity	NOUN	14	nsubj
14	seems	VERB	2	conj
15	to	PART	18	mark
16	have	AUX	18	aux
17	been	AUX	18	cop
18	inactive	ADJ	14	xcomp
19	since	ADP	22	case
20	it's	_	None	_
21	it	PRON	22	nmod:poss
22	's	VERB	20	case
23	creation	NOUN	18	obl
24	.	PUNCT	2	punct