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 think it could have been done in a much more cost efficient way, right here on bad-old-planet-earth.
Postion	Tokenization
1	i
2	think
3	it
4	could
5	have
6	been
7	done
8	in
9	a
10	much
11	more
12	cost
13	efficient
14	way
15	,
16	right
17	here
18	on
19	bad
20	-
21	old
22	-
23	planet
24	-
25	earth
26	.
Position	Tokenization	UPOS	Head	Deprel
1	i	PRON	2	nsubj
2	think	VERB	0	root
3	it	PRON	7	nsubj:pass
4	could	AUX	7	aux
5	have	AUX	7	aux
6	been	AUX	7	aux:pass
7	done	VERB	2	ccomp
8	in	ADP	14	case
9	a	DET	14	det
10	much	ADV	11	advmod
11	more	ADV	13	advmod
12	cost	NOUN	13	obl:npmod
13	efficient	ADJ	14	amod
14	way	NOUN	7	obl
15	,	PUNCT	7	punct
16	right	ADV	17	advmod
17	here	ADV	7	advmod
18	on	ADP	25	case
19	bad	ADJ	25	amod
20	-	PUNCT	25	punct
21	old	ADJ	25	amod
22	-	PUNCT	25	punct
23	planet	NOUN	25	compound
24	-	PUNCT	25	punct
25	earth	PROPN	7	obl
26	.	PUNCT	2	punct