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 have done a fair amount of metal casting, but never tried to build my own furnace, but I think your version is just too small and doesn't get hot enough.
Postion	Tokenization
1	I
2	have
3	done
4	a
5	fair
6	amount
7	of
8	metal
9	casting
10	,
11	but
12	never
13	tried
14	to
15	build
16	my
17	own
18	furnace
19	,
20	but
21	I
22	think
23	your
24	version
25	is
26	just
27	too
28	small
29	and
30	doesn't
31	does
32	n't
33	get
34	hot
35	enough
36	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	have	AUX	3	aux
3	done	VERB	0	root
4	a	DET	6	det
5	fair	ADJ	6	amod
6	amount	NOUN	3	obj
7	of	ADP	9	case
8	metal	NOUN	9	compound
9	casting	NOUN	6	nmod
10	,	PUNCT	13	punct
11	but	CCONJ	13	cc
12	never	ADV	13	advmod
13	tried	VERB	3	conj
14	to	PART	15	mark
15	build	VERB	13	xcomp
16	my	PRON	18	nmod:poss
17	own	ADJ	18	amod
18	furnace	NOUN	15	obj
19	,	PUNCT	22	punct
20	but	CCONJ	22	cc
21	I	PRON	22	nsubj
22	think	VERB	3	conj
23	your	PRON	24	nmod:poss
24	version	NOUN	28	nsubj
25	is	AUX	28	cop
26	just	ADV	28	advmod
27	too	ADV	28	advmod
28	small	ADJ	22	ccomp
29	and	CCONJ	32	cc
30	doesn't	_	None	_
31	does	AUX	34	aux
32	n't	PART	34	advmod
33	get	VERB	28	conj
34	hot	ADJ	34	amod
35	enough	ADJ	32	xcomp
36	.	PUNCT	3	punct