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:
Free of polution, free of oil dependency, and free of big business that is bleeding us dry for the short term good (theirs).
Postion	Tokenization
1	Free
2	of
3	polution
4	,
5	free
6	of
7	oil
8	dependency
9	,
10	and
11	free
12	of
13	big
14	business
15	that
16	is
17	bleeding
18	us
19	dry
20	for
21	the
22	short
23	term
24	good
25	(
26	theirs
27	)
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Free	ADJ	0	root
2	of	ADP	3	case
3	polution	NOUN	1	obl
4	,	PUNCT	5	punct
5	free	ADJ	1	conj
6	of	ADP	8	case
7	oil	NOUN	8	compound
8	dependency	NOUN	5	obl
9	,	PUNCT	11	punct
10	and	CCONJ	11	cc
11	free	ADJ	1	conj
12	of	ADP	14	case
13	big	ADJ	14	amod
14	business	NOUN	11	obl
15	that	PRON	17	nsubj
16	is	AUX	17	aux
17	bleeding	VERB	14	acl:relcl
18	us	PRON	17	obj
19	dry	ADJ	17	xcomp
20	for	ADP	24	case
21	the	DET	24	det
22	short	ADJ	23	amod
23	term	NOUN	24	compound
24	good	NOUN	17	obl
25	(	PUNCT	26	punct
26	theirs	PRON	24	nmod:poss
27	)	PUNCT	26	punct
28	.	PUNCT	1	punct