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 was told to leave a restaurant because I ordered water with my meal (apparently this is "washing down" your food") and not ordering wine.
Postion	Tokenization
1	I
2	was
3	told
4	to
5	leave
6	a
7	restaurant
8	because
9	I
10	ordered
11	water
12	with
13	my
14	meal
15	(
16	apparently
17	this
18	is
19	"
20	washing
21	down
22	"
23	your
24	food
25	"
26	)
27	and
28	not
29	ordering
30	wine
31	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj:pass
2	was	AUX	3	aux:pass
3	told	VERB	0	root
4	to	PART	5	mark
5	leave	VERB	3	xcomp
6	a	DET	7	det
7	restaurant	NOUN	5	obj
8	because	SCONJ	10	mark
9	I	PRON	10	nsubj
10	ordered	VERB	5	advcl
11	water	NOUN	10	obj
12	with	ADP	14	case
13	my	PRON	14	nmod:poss
14	meal	NOUN	10	obl
15	(	PUNCT	20	punct
16	apparently	ADV	20	advmod
17	this	PRON	20	nsubj
18	is	AUX	20	aux
19	"	PUNCT	20	punct
20	washing	VERB	10	parataxis
21	down	ADP	20	compound:prt
22	"	PUNCT	20	punct
23	your	PRON	24	nmod:poss
24	food	NOUN	20	obj
25	"	PUNCT	20	punct
26	)	PUNCT	20	punct
27	and	CCONJ	29	cc
28	not	PART	29	advmod
29	ordering	VERB	10	conj
30	wine	NOUN	29	obj
31	.	PUNCT	3	punct