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:
TDS meters (the thrifty aquarist's hardness meter can be used if one has seen one of your municipal water department's annual reports.
Postion	Tokenization
1	TDS
2	meters
3	(
4	the
5	thrifty
6	aquarist's
7	aquarist
8	's
9	hardness
10	meter
11	can
12	be
13	used
14	if
15	one
16	has
17	seen
18	one
19	of
20	your
21	municipal
22	water
23	department's
24	department
25	's
26	annual
27	reports
28	.
Position	Tokenization	UPOS	Head	Deprel
1	TDS	NOUN	2	compound
2	meters	NOUN	12	nsubj:pass
3	(	PUNCT	2	punct
4	the	DET	6	det
5	thrifty	ADJ	6	amod
6	aquarist's	_	None	_
7	aquarist	NOUN	9	nmod:poss
8	's	PART	6	case
9	hardness	NOUN	9	compound
10	meter	NOUN	2	appos
11	can	AUX	12	aux
12	be	AUX	12	aux:pass
13	used	VERB	0	root
14	if	SCONJ	16	mark
15	one	PRON	16	nsubj
16	has	AUX	16	aux
17	seen	VERB	12	advcl
18	one	NUM	16	obj
19	of	ADP	25	case
20	your	PRON	22	nmod:poss
21	municipal	ADJ	22	amod
22	water	NOUN	22	compound
23	department's	_	None	_
24	department	NOUN	25	nmod:poss
25	's	PART	22	case
26	annual	ADJ	25	amod
27	reports	NOUN	17	nmod
28	.	PUNCT	12	punct