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 am waiting longer at BNA for my pickups and last time I parked with them, they lost my car key.
Postion	Tokenization
1	I
2	am
3	waiting
4	longer
5	at
6	BNA
7	for
8	my
9	pickups
10	and
11	last
12	time
13	I
14	parked
15	with
16	them
17	,
18	they
19	lost
20	my
21	car
22	key
23	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	am	AUX	3	aux
3	waiting	VERB	0	root
4	longer	ADV	3	advmod
5	at	ADP	6	case
6	BNA	PROPN	3	obl
7	for	ADP	9	case
8	my	PRON	9	nmod:poss
9	pickups	NOUN	3	obl
10	and	CCONJ	19	cc
11	last	ADJ	12	amod
12	time	NOUN	19	obl:tmod
13	I	PRON	14	nsubj
14	parked	VERB	12	acl:relcl
15	with	ADP	16	case
16	them	PRON	14	obl
17	,	PUNCT	19	punct
18	they	PRON	19	nsubj
19	lost	VERB	3	conj
20	my	PRON	22	nmod:poss
21	car	NOUN	22	compound
22	key	NOUN	19	obj
23	.	PUNCT	3	punct