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:
I believe they have a real study testing the lab work in real world situations now, but it may be sometime before those results are released.
Postion	Tokenization
1	I
2	believe
3	they
4	have
5	a
6	real
7	study
8	testing
9	the
10	lab
11	work
12	in
13	real
14	world
15	situations
16	now
17	,
18	but
19	it
20	may
21	be
22	some
23	time
24	before
25	those
26	results
27	are
28	released
29	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	believe	VERB	0	root
3	they	PRON	4	nsubj
4	have	VERB	2	ccomp
5	a	DET	7	det
6	real	ADJ	7	amod
7	study	NOUN	4	obj
8	testing	VERB	7	acl
9	the	DET	11	det
10	lab	ADJ	11	amod
11	work	NOUN	8	obj
12	in	ADP	15	case
13	real	ADJ	14	amod
14	world	NOUN	15	compound
15	situations	NOUN	8	obl
16	now	ADV	4	advmod
17	,	PUNCT	23	punct
18	but	CCONJ	23	cc
19	it	PRON	23	nsubj
20	may	AUX	23	aux
21	be	AUX	23	cop
22	some	DET	23	det
23	time	NOUN	2	conj
24	before	SCONJ	28	mark
25	those	DET	26	det
26	results	NOUN	28	nsubj:pass
27	are	AUX	28	aux:pass
28	released	VERB	23	advcl
29	.	PUNCT	2	punct