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:
Winging it a little here, a hardness of 100 to nearly 200 PPM (parts per million) or 5.8 to 10.6 DH should be fine for gardneri.
Postion	Tokenization
1	Winging
2	it
3	a
4	little
5	here
6	,
7	a
8	hardness
9	of
10	100
11	to
12	nearly
13	200
14	PPM
15	(
16	parts
17	per
18	million
19	)
20	or
21	5.8
22	to
23	10.6
24	DH
25	should
26	be
27	fine
28	for
29	gardneri
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Winging	VERB	27	advcl
2	it	PRON	1	obj
3	a	DET	4	det
4	little	ADJ	1	obl:npmod
5	here	ADV	1	advmod
6	,	PUNCT	27	punct
7	a	DET	8	det
8	hardness	NOUN	27	nsubj
9	of	ADP	14	case
10	100	NUM	14	nummod
11	to	ADP	13	case
12	nearly	ADV	13	advmod
13	200	NUM	10	nmod
14	PPM	NOUN	8	nmod
15	(	PUNCT	16	punct
16	parts	NOUN	14	appos
17	per	ADP	18	case
18	million	NOUN	16	nmod
19	)	PUNCT	16	punct
20	or	CCONJ	24	cc
21	5.8	NUM	24	nummod
22	to	ADP	23	case
23	10.6	NUM	21	nmod
24	DH	NOUN	14	conj
25	should	AUX	27	aux
26	be	AUX	27	cop
27	fine	ADJ	0	root
28	for	ADP	29	case
29	gardneri	NOUN	27	obl
30	.	PUNCT	27	punct