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:
Well I was in for a treat when I was greeted by the friendly girls at the counter who asked if my wife and I would like to sit in their "new" dining room.
Postion	Tokenization
1	Well
2	I
3	was
4	in
5	for
6	a
7	treat
8	when
9	I
10	was
11	greeted
12	by
13	the
14	friendly
15	girls
16	at
17	the
18	counter
19	who
20	asked
21	if
22	my
23	wife
24	and
25	I
26	would
27	like
28	to
29	sit
30	in
31	their
32	"
33	new
34	"
35	dining
36	room
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Well	INTJ	7	discourse
2	I	PRON	7	nsubj
3	was	AUX	7	cop
4	in	ADP	7	case
5	for	ADP	7	case
6	a	DET	7	det
7	treat	NOUN	0	root
8	when	SCONJ	11	mark
9	I	PRON	11	nsubj:pass
10	was	AUX	11	aux:pass
11	greeted	VERB	7	advcl
12	by	ADP	15	case
13	the	DET	15	det
14	friendly	ADJ	15	amod
15	girls	NOUN	11	obl
16	at	ADP	18	case
17	the	DET	18	det
18	counter	NOUN	15	nmod
19	who	PRON	20	nsubj
20	asked	VERB	15	acl:relcl
21	if	SCONJ	27	mark
22	my	PRON	23	nmod:poss
23	wife	NOUN	27	nsubj
24	and	CCONJ	25	cc
25	I	PRON	23	conj
26	would	AUX	27	aux
27	like	VERB	20	advcl
28	to	PART	29	mark
29	sit	VERB	27	xcomp
30	in	ADP	36	case
31	their	PRON	36	nmod:poss
32	"	PUNCT	36	punct
33	new	ADJ	36	amod
34	"	PUNCT	36	punct
35	dining	NOUN	36	compound
36	room	NOUN	29	obl
37	.	PUNCT	7	punct