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:
We were introduced to Bistro Tallulah by traveler-professional diner who happens to own the Adelphi Hotel and travels the world-- and residing in Paris,London, New York the rest of the year.
Postion	Tokenization
1	We
2	were
3	introduced
4	to
5	Bistro
6	Tallulah
7	by
8	traveler
9	-
10	professional
11	diner
12	who
13	happens
14	to
15	own
16	the
17	Adelphi
18	Hotel
19	and
20	travels
21	the
22	world
23	--
24	and
25	residing
26	in
27	Paris
28	,
29	London
30	,
31	New
32	York
33	the
34	rest
35	of
36	the
37	year
38	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	3	nsubj:pass
2	were	AUX	3	aux:pass
3	introduced	VERB	0	root
4	to	ADP	5	case
5	Bistro	PROPN	3	obl
6	Tallulah	PROPN	5	flat
7	by	ADP	8	case
8	traveler	NOUN	3	obl
9	-	PUNCT	8	punct
10	professional	ADJ	11	amod
11	diner	NOUN	8	appos
12	who	PRON	13	nsubj
13	happens	VERB	11	acl:relcl
14	to	PART	15	mark
15	own	VERB	13	xcomp
16	the	DET	18	det
17	Adelphi	PROPN	18	compound
18	Hotel	PROPN	15	obj
19	and	CCONJ	20	cc
20	travels	VERB	13	conj
21	the	DET	22	det
22	world	NOUN	20	obj
23	--	PUNCT	13	punct
24	and	CCONJ	25	cc
25	residing	VERB	13	conj
26	in	ADP	27	case
27	Paris	PROPN	25	obl
28	,	PUNCT	27	punct
29	London	PROPN	27	list
30	,	PUNCT	27	punct
31	New	PROPN	32	compound
32	York	PROPN	27	list
33	the	DET	34	det
34	rest	NOUN	25	obl:tmod
35	of	ADP	37	case
36	the	DET	37	det
37	year	NOUN	34	nmod
38	.	PUNCT	3	punct