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 would recommend to start with something more simple like tin, pewter, aluminum or zinc, they all have a much more reasonable melting point.
Postion	Tokenization
1	I
2	would
3	recommend
4	to
5	start
6	with
7	something
8	more
9	simple
10	like
11	tin
12	,
13	pewter
14	,
15	aluminum
16	or
17	zinc
18	,
19	they
20	all
21	have
22	a
23	much
24	more
25	reasonable
26	melting
27	point
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	would	AUX	3	aux
3	recommend	VERB	0	root
4	to	PART	5	mark
5	start	VERB	3	xcomp
6	with	ADP	7	case
7	something	PRON	5	obl
8	more	ADV	9	advmod
9	simple	ADJ	7	amod
10	like	ADP	11	case
11	tin	NOUN	7	nmod
12	,	PUNCT	13	punct
13	pewter	NOUN	11	conj
14	,	PUNCT	15	punct
15	aluminum	NOUN	11	conj
16	or	CCONJ	17	cc
17	zinc	NOUN	11	conj
18	,	PUNCT	3	punct
19	they	PRON	21	nsubj
20	all	DET	19	det
21	have	VERB	3	parataxis
22	a	DET	27	det
23	much	ADV	24	advmod
24	more	ADV	25	advmod
25	reasonable	ADJ	27	amod
26	melting	NOUN	27	compound
27	point	NOUN	21	obj
28	.	PUNCT	3	punct