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:
Prices listed, however, are usually based on two people in a cabin, and you will likely face some high "single supplement" costs in addition.
Postion	Tokenization
1	Prices
2	listed
3	,
4	however
5	,
6	are
7	usually
8	based
9	on
10	two
11	people
12	in
13	a
14	cabin
15	,
16	and
17	you
18	will
19	likely
20	face
21	some
22	high
23	"
24	single
25	supplement
26	"
27	costs
28	in
29	addition
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Prices	NOUN	8	nsubj:pass
2	listed	VERB	1	acl
3	,	PUNCT	8	punct
4	however	ADV	8	advmod
5	,	PUNCT	8	punct
6	are	AUX	8	aux:pass
7	usually	ADV	8	advmod
8	based	VERB	0	root
9	on	ADP	11	case
10	two	NUM	11	nummod
11	people	NOUN	8	obl
12	in	ADP	14	case
13	a	DET	14	det
14	cabin	NOUN	11	nmod
15	,	PUNCT	20	punct
16	and	CCONJ	20	cc
17	you	PRON	20	nsubj
18	will	AUX	20	aux
19	likely	ADV	20	advmod
20	face	VERB	8	conj
21	some	DET	27	det
22	high	ADJ	27	amod
23	"	PUNCT	25	punct
24	single	ADJ	25	amod
25	supplement	NOUN	27	compound
26	"	PUNCT	25	punct
27	costs	NOUN	20	obj
28	in	ADP	29	case
29	addition	NOUN	20	obl
30	.	PUNCT	8	punct