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 woman walks into an Israeli restaurant in mid-day, eats, observes families with old people and children eating their lunch in the adjacent tables and pays the bill.
Postion	Tokenization
1	A
2	woman
3	walks
4	into
5	an
6	Israeli
7	restaurant
8	in
9	mid-day
10	,
11	eats
12	,
13	observes
14	families
15	with
16	old
17	people
18	and
19	children
20	eating
21	their
22	lunch
23	in
24	the
25	adjacent
26	tables
27	and
28	pays
29	the
30	bill
31	.
Position	Tokenization	UPOS	Head	Deprel
1	A	DET	2	det
2	woman	NOUN	3	nsubj
3	walks	VERB	0	root
4	into	ADP	7	case
5	an	DET	7	det
6	Israeli	ADJ	7	amod
7	restaurant	NOUN	3	obl
8	in	ADP	9	case
9	mid-day	NOUN	3	obl
10	,	PUNCT	11	punct
11	eats	VERB	3	conj
12	,	PUNCT	13	punct
13	observes	VERB	3	conj
14	families	NOUN	13	obj
15	with	ADP	17	case
16	old	ADJ	17	amod
17	people	NOUN	14	nmod
18	and	CCONJ	19	cc
19	children	NOUN	17	conj
20	eating	VERB	14	acl
21	their	PRON	22	nmod:poss
22	lunch	NOUN	20	obj
23	in	ADP	26	case
24	the	DET	26	det
25	adjacent	ADJ	26	amod
26	tables	NOUN	20	obl
27	and	CCONJ	28	cc
28	pays	VERB	3	conj
29	the	DET	30	det
30	bill	NOUN	28	obj
31	.	PUNCT	3	punct