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 loved most of the locations that both of the ships visited and don't believe that this should be a distinguishing factor on deciding between the cruise lines.
Postion	Tokenization
1	We
2	loved
3	most
4	of
5	the
6	locations
7	that
8	both
9	of
10	the
11	ships
12	visited
13	and
14	don't
15	do
16	n't
17	believe
18	that
19	this
20	should
21	be
22	a
23	distinguishing
24	factor
25	on
26	deciding
27	between
28	the
29	cruise
30	lines
31	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	2	nsubj
2	loved	VERB	0	root
3	most	ADJ	2	obj
4	of	ADP	6	case
5	the	DET	6	det
6	locations	NOUN	3	nmod
7	that	PRON	12	obj
8	both	DET	12	nsubj
9	of	ADP	11	case
10	the	DET	11	det
11	ships	NOUN	8	nmod
12	visited	VERB	6	acl:relcl
13	and	CCONJ	16	cc
14	don't	_	None	_
15	do	AUX	16	aux
16	n't	PART	16	advmod
17	believe	VERB	2	conj
18	that	SCONJ	23	mark
19	this	PRON	23	nsubj
20	should	AUX	23	aux
21	be	AUX	23	cop
22	a	DET	23	det
23	distinguishing	ADJ	23	amod
24	factor	NOUN	16	ccomp
25	on	SCONJ	25	mark
26	deciding	VERB	23	advcl
27	between	ADP	29	case
28	the	DET	29	det
29	cruise	NOUN	29	compound
30	lines	NOUN	25	obl
31	.	PUNCT	2	punct