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:
You could stay in a city & get a bus tour to say the Cliffs of Moher or Dingle peninsula but you will be with all the other tourists.
Postion	Tokenization
1	You
2	could
3	stay
4	in
5	a
6	city
7	&
8	get
9	a
10	bus
11	tour
12	to
13	say
14	the
15	Cliffs
16	of
17	Moher
18	or
19	Dingle
20	peninsula
21	but
22	you
23	will
24	be
25	with
26	all
27	the
28	other
29	tourists
30	.
Position	Tokenization	UPOS	Head	Deprel
1	You	PRON	3	nsubj
2	could	AUX	3	aux
3	stay	VERB	0	root
4	in	ADP	6	case
5	a	DET	6	det
6	city	NOUN	3	obl
7	&	CCONJ	8	cc
8	get	VERB	3	conj
9	a	DET	11	det
10	bus	NOUN	11	compound
11	tour	NOUN	8	obj
12	to	ADP	15	case
13	say	INTJ	15	discourse
14	the	DET	15	det
15	Cliffs	PROPN	11	nmod
16	of	ADP	17	case
17	Moher	PROPN	15	nmod
18	or	CCONJ	20	cc
19	Dingle	PROPN	20	compound
20	peninsula	PROPN	15	conj
21	but	CCONJ	29	cc
22	you	PRON	29	nsubj
23	will	AUX	29	aux
24	be	AUX	29	cop
25	with	ADP	29	case
26	all	DET	29	det:predet
27	the	DET	29	det
28	other	ADJ	29	amod
29	tourists	NOUN	3	conj
30	.	PUNCT	3	punct