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:
However, with BNA offering one day of free parking due to construction of the new rental car facility, it may be cheaper to park at BNA.
Postion	Tokenization
1	However
2	,
3	with
4	BNA
5	offering
6	one
7	day
8	of
9	free
10	parking
11	due
12	to
13	construction
14	of
15	the
16	new
17	rental
18	car
19	facility
20	,
21	it
22	may
23	be
24	cheaper
25	to
26	park
27	at
28	BNA
29	.
Position	Tokenization	UPOS	Head	Deprel
1	However	ADV	24	advmod
2	,	PUNCT	24	punct
3	with	SCONJ	5	mark
4	BNA	PROPN	5	nsubj
5	offering	VERB	24	advcl
6	one	NUM	7	nummod
7	day	NOUN	5	obj
8	of	ADP	10	case
9	free	ADJ	10	amod
10	parking	NOUN	7	nmod
11	due	ADP	13	case
12	to	ADP	11	fixed
13	construction	NOUN	5	obl
14	of	ADP	19	case
15	the	DET	19	det
16	new	ADJ	19	amod
17	rental	ADJ	18	amod
18	car	NOUN	19	compound
19	facility	NOUN	13	nmod
20	,	PUNCT	24	punct
21	it	PRON	24	nsubj
22	may	AUX	24	aux
23	be	AUX	24	cop
24	cheaper	ADJ	0	root
25	to	PART	26	mark
26	park	VERB	24	xcomp
27	at	ADP	28	case
28	BNA	PROPN	26	obl
29	.	PUNCT	24	punct