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:
22 - Asbestos levels at Ground Zero were 22 times higher than the levels in Libby, Montana, where the W R Grace mine produced one of the worst Superfund disasters in US history.
Postion	Tokenization
1	22
2	-
3	Asbestos
4	levels
5	at
6	Ground
7	Zero
8	were
9	22
10	times
11	higher
12	than
13	the
14	levels
15	in
16	Libby
17	,
18	Montana
19	,
20	where
21	the
22	W
23	R
24	Grace
25	mine
26	produced
27	one
28	of
29	the
30	worst
31	Superfund
32	disasters
33	in
34	US
35	history
36	.
Position	Tokenization	UPOS	Head	Deprel
1	22	NUM	0	root
2	-	PUNCT	1	punct
3	Asbestos	NOUN	4	compound
4	levels	NOUN	11	nsubj
5	at	ADP	7	case
6	Ground	PROPN	7	compound
7	Zero	PROPN	4	nmod
8	were	AUX	11	cop
9	22	NUM	10	nummod
10	times	NOUN	11	obl:npmod
11	higher	ADJ	1	appos
12	than	ADP	14	case
13	the	DET	14	det
14	levels	NOUN	11	obl
15	in	ADP	16	case
16	Libby	PROPN	14	nmod
17	,	PUNCT	16	punct
18	Montana	PROPN	16	appos
19	,	PUNCT	16	punct
20	where	SCONJ	26	mark
21	the	DET	25	det
22	W	PROPN	24	compound
23	R	PROPN	24	compound
24	Grace	PROPN	25	compound
25	mine	NOUN	26	nsubj
26	produced	VERB	16	acl:relcl
27	one	NUM	26	obj
28	of	ADP	32	case
29	the	DET	32	det
30	worst	ADJ	32	amod
31	Superfund	PROPN	32	compound
32	disasters	NOUN	27	nmod
33	in	ADP	35	case
34	US	PROPN	35	compound
35	history	NOUN	32	nmod
36	.	PUNCT	1	punct