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:
If you love seeing the shows, Royal Caribbean was better for the main shows and Carnival was slightly better for the comedians.
Postion	Tokenization
1	If
2	you
3	love
4	seeing
5	the
6	shows
7	,
8	Royal
9	Caribbean
10	was
11	better
12	for
13	the
14	main
15	shows
16	and
17	Carnival
18	was
19	slightly
20	better
21	for
22	the
23	comedians
24	.
Position	Tokenization	UPOS	Head	Deprel
1	If	SCONJ	3	mark
2	you	PRON	3	nsubj
3	love	VERB	11	advcl
4	seeing	VERB	3	xcomp
5	the	DET	6	det
6	shows	NOUN	4	obj
7	,	PUNCT	11	punct
8	Royal	PROPN	9	compound
9	Caribbean	PROPN	11	nsubj
10	was	AUX	11	cop
11	better	ADJ	0	root
12	for	ADP	15	case
13	the	DET	15	det
14	main	ADJ	15	amod
15	shows	NOUN	11	obl
16	and	CCONJ	20	cc
17	Carnival	PROPN	20	nsubj
18	was	AUX	20	cop
19	slightly	ADV	20	advmod
20	better	ADJ	11	conj
21	for	ADP	23	case
22	the	DET	23	det
23	comedians	NOUN	20	obl
24	.	PUNCT	11	punct