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:
A few minutes after I left, I was called and informed that "I" left my wheel lock (which they should have left in the car).
Postion	Tokenization
1	A
2	few
3	minutes
4	after
5	I
6	left
7	,
8	I
9	was
10	called
11	and
12	informed
13	that
14	"
15	I
16	"
17	left
18	my
19	wheel
20	lock
21	(
22	which
23	they
24	should
25	have
26	left
27	in
28	the
29	car
30	)
31	.
Position	Tokenization	UPOS	Head	Deprel
1	A	DET	3	det
2	few	ADJ	3	amod
3	minutes	NOUN	6	obl:npmod
4	after	SCONJ	6	mark
5	I	PRON	6	nsubj
6	left	VERB	10	advcl
7	,	PUNCT	10	punct
8	I	PRON	10	nsubj:pass
9	was	AUX	10	aux:pass
10	called	VERB	0	root
11	and	CCONJ	12	cc
12	informed	VERB	10	conj
13	that	SCONJ	17	mark
14	"	PUNCT	15	punct
15	I	PRON	17	nsubj
16	"	PUNCT	15	punct
17	left	VERB	12	ccomp
18	my	PRON	20	nmod:poss
19	wheel	NOUN	20	compound
20	lock	NOUN	17	obj
21	(	PUNCT	26	punct
22	which	PRON	26	obj
23	they	PRON	26	nsubj
24	should	AUX	26	aux
25	have	AUX	26	aux
26	left	VERB	20	acl:relcl
27	in	ADP	29	case
28	the	DET	29	det
29	car	NOUN	26	obl
30	)	PUNCT	26	punct
31	.	PUNCT	10	punct