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:
I was very pleased to find my accommodations and the hotel staff to be a very calming and comforting part of my trip.
Postion	Tokenization
1	I
2	was
3	very
4	pleased
5	to
6	find
7	my
8	accommodations
9	and
10	the
11	hotel
12	staff
13	to
14	be
15	a
16	very
17	calming
18	and
19	comforting
20	part
21	of
22	my
23	trip
24	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	4	nsubj
2	was	AUX	4	cop
3	very	ADV	4	advmod
4	pleased	ADJ	0	root
5	to	PART	6	mark
6	find	VERB	4	advcl
7	my	PRON	8	nmod:poss
8	accommodations	NOUN	6	obj
9	and	CCONJ	12	cc
10	the	DET	12	det
11	hotel	NOUN	12	compound
12	staff	NOUN	8	conj
13	to	PART	20	mark
14	be	AUX	20	cop
15	a	DET	20	det
16	very	ADV	17	advmod
17	calming	ADJ	20	amod
18	and	CCONJ	19	cc
19	comforting	ADJ	17	conj
20	part	NOUN	6	xcomp
21	of	ADP	23	case
22	my	PRON	23	nmod:poss
23	trip	NOUN	20	nmod
24	.	PUNCT	4	punct