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 am currently employed with the aviation department (hangar attendant) of enron and would like to use my past knowledge and experience to persue my goals in the technology feild.
Postion	Tokenization
1	I
2	am
3	currently
4	employed
5	with
6	the
7	aviation
8	department
9	(
10	hangar
11	attendant
12	)
13	of
14	enron
15	and
16	would
17	like
18	to
19	use
20	my
21	past
22	knowledge
23	and
24	experience
25	to
26	persue
27	my
28	goals
29	in
30	the
31	technology
32	feild
33	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj:pass
2	am	AUX	4	aux:pass
3	currently	ADV	4	advmod
4	employed	VERB	0	root
5	with	ADP	8	case
6	the	DET	8	det
7	aviation	NOUN	8	compound
8	department	NOUN	4	obl
9	(	PUNCT	11	punct
10	hangar	NOUN	11	compound
11	attendant	NOUN	8	appos
12	)	PUNCT	11	punct
13	of	ADP	14	case
14	enron	PROPN	8	nmod
15	and	CCONJ	17	cc
16	would	AUX	17	aux
17	like	VERB	4	conj
18	to	PART	19	mark
19	use	VERB	17	xcomp
20	my	PRON	22	nmod:poss
21	past	ADJ	22	amod
22	knowledge	NOUN	19	obj
23	and	CCONJ	24	cc
24	experience	NOUN	22	conj
25	to	PART	26	mark
26	persue	VERB	19	advcl
27	my	PRON	28	nmod:poss
28	goals	NOUN	26	obj
29	in	ADP	32	case
30	the	DET	32	det
31	technology	NOUN	32	compound
32	feild	NOUN	28	nmod
33	.	PUNCT	4	punct