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:
They include a number of minerals there and you can figure out what percentage of that would be your hardness minerals (calcium, magnesium and iron).
Postion	Tokenization
1	They
2	include
3	a
4	number
5	of
6	minerals
7	there
8	and
9	you
10	can
11	figure
12	out
13	what
14	percentage
15	of
16	that
17	would
18	be
19	your
20	hardness
21	minerals
22	(
23	calcium
24	,
25	magnesium
26	and
27	iron
28	)
29	.
Position	Tokenization	UPOS	Head	Deprel
1	They	PRON	2	nsubj
2	include	VERB	0	root
3	a	DET	4	det
4	number	NOUN	2	obj
5	of	ADP	6	case
6	minerals	NOUN	4	nmod
7	there	ADV	2	advmod
8	and	CCONJ	11	cc
9	you	PRON	11	nsubj
10	can	AUX	11	aux
11	figure	VERB	2	conj
12	out	ADP	11	compound:prt
13	what	DET	14	det
14	percentage	NOUN	21	nsubj
15	of	ADP	16	case
16	that	PRON	14	nmod
17	would	AUX	21	aux
18	be	AUX	21	cop
19	your	PRON	21	nmod:poss
20	hardness	NOUN	21	compound
21	minerals	NOUN	11	ccomp
22	(	PUNCT	21	punct
23	calcium	NOUN	21	appos
24	,	PUNCT	25	punct
25	magnesium	NOUN	23	conj
26	and	CCONJ	27	cc
27	iron	NOUN	23	conj
28	)	PUNCT	21	punct
29	.	PUNCT	2	punct