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:
After they showed up there was a little trouble to get my car unlocked, it took quite a bit of time but the job was well done.
Postion	Tokenization
1	After
2	they
3	showed
4	up
5	there
6	was
7	a
8	little
9	trouble
10	to
11	get
12	my
13	car
14	unlocked
15	,
16	it
17	took
18	quite
19	a
20	bit
21	of
22	time
23	but
24	the
25	job
26	was
27	well
28	done
29	.
Position	Tokenization	UPOS	Head	Deprel
1	After	SCONJ	3	mark
2	they	PRON	3	nsubj
3	showed	VERB	6	advcl
4	up	ADP	3	compound:prt
5	there	PRON	6	expl
6	was	AUX	0	root
7	a	DET	9	det
8	little	ADJ	9	amod
9	trouble	NOUN	6	nsubj
10	to	PART	11	mark
11	get	VERB	9	acl
12	my	PRON	13	nmod:poss
13	car	NOUN	11	obj
14	unlocked	VERB	11	xcomp
15	,	PUNCT	17	punct
16	it	PRON	17	nsubj
17	took	VERB	6	conj
18	quite	DET	20	det:predet
19	a	DET	20	det
20	bit	NOUN	17	obj
21	of	ADP	22	case
22	time	NOUN	20	nmod
23	but	CCONJ	28	cc
24	the	DET	25	det
25	job	NOUN	28	nsubj:pass
26	was	AUX	28	aux:pass
27	well	ADV	28	advmod
28	done	VERB	6	conj
29	.	PUNCT	6	punct