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 had a slightly better experience on the Liberty, but feel that both crews did an excellent job and that this should not be a distinguishing factor on choosing a cruise.
Postion	Tokenization
1	We
2	had
3	a
4	slightly
5	better
6	experience
7	on
8	the
9	Liberty
10	,
11	but
12	feel
13	that
14	both
15	crews
16	did
17	an
18	excellent
19	job
20	and
21	that
22	this
23	should
24	not
25	be
26	a
27	distinguishing
28	factor
29	on
30	choosing
31	a
32	cruise
33	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	2	nsubj
2	had	VERB	0	root
3	a	DET	6	det
4	slightly	ADV	5	advmod
5	better	ADJ	6	amod
6	experience	NOUN	2	obj
7	on	ADP	9	case
8	the	DET	9	det
9	Liberty	PROPN	2	obl
10	,	PUNCT	12	punct
11	but	CCONJ	12	cc
12	feel	VERB	2	conj
13	that	SCONJ	16	mark
14	both	DET	15	det
15	crews	NOUN	16	nsubj
16	did	VERB	12	ccomp
17	an	DET	19	det
18	excellent	ADJ	19	amod
19	job	NOUN	16	obj
20	and	CCONJ	28	cc
21	that	SCONJ	28	mark
22	this	PRON	28	nsubj
23	should	AUX	28	aux
24	not	PART	28	advmod
25	be	AUX	28	cop
26	a	DET	28	det
27	distinguishing	ADJ	28	amod
28	factor	NOUN	16	conj
29	on	SCONJ	30	mark
30	choosing	VERB	28	advcl
31	a	DET	32	det
32	cruise	NOUN	30	obj
33	.	PUNCT	2	punct