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 the three years I have been here, I am unaware of an ENA/ECT bad faith claim against any insurance company.
Postion	Tokenization
1	In
2	the
3	three
4	years
5	I
6	have
7	been
8	here
9	,
10	I
11	am
12	unaware
13	of
14	an
15	ENA
16	/
17	ECT
18	bad
19	faith
20	claim
21	against
22	any
23	insurance
24	company
25	.
Position	Tokenization	UPOS	Head	Deprel
1	In	ADP	4	case
2	the	DET	4	det
3	three	NUM	4	nummod
4	years	NOUN	12	obl
5	I	PRON	8	nsubj
6	have	AUX	8	aux
7	been	AUX	8	cop
8	here	ADV	4	acl:relcl
9	,	PUNCT	12	punct
10	I	PRON	12	nsubj
11	am	AUX	12	cop
12	unaware	ADJ	0	root
13	of	ADP	20	case
14	an	DET	20	det
15	ENA	PROPN	17	compound
16	/	PUNCT	17	punct
17	ECT	PROPN	20	compound
18	bad	ADJ	19	amod
19	faith	NOUN	20	compound
20	claim	NOUN	12	obl
21	against	ADP	24	case
22	any	DET	24	det
23	insurance	NOUN	24	compound
24	company	NOUN	20	nmod
25	.	PUNCT	12	punct