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:
The credit guys are currently assuming that there is no correlation and may consequently be double dipping the credit reserve on this basis too.
Postion	Tokenization
1	The
2	credit
3	guys
4	are
5	currently
6	assuming
7	that
8	there
9	is
10	no
11	correlation
12	and
13	may
14	consequently
15	be
16	double
17	dipping
18	the
19	credit
20	reserve
21	on
22	this
23	basis
24	too
25	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	3	det
2	credit	NOUN	3	compound
3	guys	NOUN	6	nsubj
4	are	AUX	6	aux
5	currently	ADV	6	advmod
6	assuming	VERB	0	root
7	that	SCONJ	9	mark
8	there	PRON	9	expl
9	is	VERB	6	ccomp
10	no	DET	11	det
11	correlation	NOUN	9	nsubj
12	and	CCONJ	17	cc
13	may	AUX	17	aux
14	consequently	ADV	17	advmod
15	be	AUX	17	aux
16	double	ADJ	17	advmod
17	dipping	VERB	6	conj
18	the	DET	20	det
19	credit	NOUN	20	compound
20	reserve	NOUN	17	obj
21	on	ADP	23	case
22	this	DET	23	det
23	basis	NOUN	17	obl
24	too	ADV	17	advmod
25	.	PUNCT	6	punct