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:
$3.8bn - Amount in the Superfund trust fund for toxic site clean-ups in 1995, the Year "polluter pays" fees expired.
Postion	Tokenization
1	$
2	3.8
3	bn
4	-
5	Amount
6	in
7	the
8	Superfund
9	trust
10	fund
11	for
12	toxic
13	site
14	clean
15	-
16	ups
17	in
18	1995
19	,
20	the
21	Year
22	"
23	polluter
24	pays
25	"
26	fees
27	expired
28	.
Position	Tokenization	UPOS	Head	Deprel
1	$	SYM	0	root
2	3.8	NUM	1	nummod
3	bn	NUM	1	compound
4	-	PUNCT	1	punct
5	Amount	NOUN	1	appos
6	in	ADP	10	case
7	the	DET	10	det
8	Superfund	PROPN	10	compound
9	trust	NOUN	10	compound
10	fund	NOUN	5	nmod
11	for	ADP	16	case
12	toxic	ADJ	13	amod
13	site	NOUN	16	compound
14	clean	NOUN	16	compound
15	-	PUNCT	16	punct
16	ups	NOUN	10	nmod
17	in	ADP	18	case
18	1995	NUM	5	nmod
19	,	PUNCT	18	punct
20	the	DET	21	det
21	Year	NOUN	18	appos
22	"	PUNCT	24	punct
23	polluter	NOUN	24	nsubj
24	pays	VERB	26	compound
25	"	PUNCT	24	punct
26	fees	NOUN	27	nsubj
27	expired	VERB	21	acl:relcl
28	.	PUNCT	1	punct