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:
Eagle Transmission determined that much of the work the dealer said needed to be done was unneccesary and what needed to be fixed was only $400!!
Postion	Tokenization
1	Eagle
2	Transmission
3	determined
4	that
5	much
6	of
7	the
8	work
9	the
10	dealer
11	said
12	needed
13	to
14	be
15	done
16	was
17	unneccesary
18	and
19	what
20	needed
21	to
22	be
23	fixed
24	was
25	only
26	$
27	400
28	!!
Position	Tokenization	UPOS	Head	Deprel
1	Eagle	PROPN	2	compound
2	Transmission	PROPN	3	nsubj
3	determined	VERB	0	root
4	that	SCONJ	17	mark
5	much	ADJ	17	nsubj
6	of	ADP	8	case
7	the	DET	8	det
8	work	NOUN	5	obl
9	the	DET	10	det
10	dealer	NOUN	11	nsubj
11	said	VERB	8	acl:relcl
12	needed	VERB	11	ccomp
13	to	PART	15	mark
14	be	AUX	15	aux:pass
15	done	VERB	12	xcomp
16	was	AUX	17	cop
17	unneccesary	ADJ	3	ccomp
18	and	CCONJ	26	cc
19	what	PRON	26	nsubj
20	needed	VERB	19	acl:relcl
21	to	PART	23	mark
22	be	AUX	23	aux:pass
23	fixed	VERB	20	xcomp
24	was	AUX	26	cop
25	only	ADV	26	advmod
26	$	SYM	17	conj
27	400	NUM	26	compound
28	!!	PUNCT	3	punct