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 melted small amounts of bronze in a crucible with a large propane torch (much larger than the plumbers torch, but it can be run of those propane cylinders you can buy for a gas grill).
Postion	Tokenization
1	I
2	have
3	melted
4	small
5	amounts
6	of
7	bronze
8	in
9	a
10	crucible
11	with
12	a
13	large
14	propane
15	torch
16	(
17	much
18	larger
19	than
20	the
21	plumbers
22	torch
23	,
24	but
25	it
26	can
27	be
28	run
29	of
30	those
31	propane
32	cylinders
33	you
34	can
35	buy
36	for
37	a
38	gas
39	grill
40	)
41	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	have	AUX	3	aux
3	melted	VERB	0	root
4	small	ADJ	5	amod
5	amounts	NOUN	3	obj
6	of	ADP	7	case
7	bronze	NOUN	5	nmod
8	in	ADP	10	case
9	a	DET	10	det
10	crucible	NOUN	3	obl
11	with	ADP	15	case
12	a	DET	15	det
13	large	ADJ	15	amod
14	propane	NOUN	15	compound
15	torch	NOUN	3	obl
16	(	PUNCT	15	punct
17	much	ADV	18	advmod
18	larger	ADJ	15	amod
19	than	ADP	22	case
20	the	DET	22	det
21	plumbers	NOUN	22	compound
22	torch	NOUN	18	obl
23	,	PUNCT	28	punct
24	but	CCONJ	28	cc
25	it	PRON	28	nsubj:pass
26	can	AUX	28	aux
27	be	AUX	28	aux:pass
28	run	VERB	3	conj
29	of	ADP	32	case
30	those	DET	32	det
31	propane	NOUN	32	compound
32	cylinders	NOUN	28	obl
33	you	PRON	35	nsubj
34	can	AUX	35	aux
35	buy	VERB	32	acl:relcl
36	for	ADP	39	case
37	a	DET	39	det
38	gas	NOUN	39	compound
39	grill	NOUN	35	obl
40	)	PUNCT	3	punct
41	.	PUNCT	3	punct