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:
The staff was friendly, especially the front desk female supervisor, and seemed to want to help, but too many unusual things happened to make us want to stay there again.
Postion	Tokenization
1	The
2	staff
3	was
4	friendly
5	,
6	especially
7	the
8	front
9	desk
10	female
11	supervisor
12	,
13	and
14	seemed
15	to
16	want
17	to
18	help
19	,
20	but
21	too
22	many
23	unusual
24	things
25	happened
26	to
27	make
28	us
29	want
30	to
31	stay
32	there
33	again
34	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	staff	NOUN	4	nsubj
3	was	AUX	4	cop
4	friendly	ADJ	0	root
5	,	PUNCT	4	punct
6	especially	ADV	11	advmod
7	the	DET	11	det
8	front	ADJ	9	amod
9	desk	NOUN	11	compound
10	female	ADJ	11	amod
11	supervisor	NOUN	2	appos
12	,	PUNCT	14	punct
13	and	CCONJ	14	cc
14	seemed	VERB	4	conj
15	to	PART	16	mark
16	want	VERB	14	xcomp
17	to	PART	18	mark
18	help	VERB	16	xcomp
19	,	PUNCT	25	punct
20	but	CCONJ	25	cc
21	too	ADV	22	advmod
22	many	ADJ	24	amod
23	unusual	ADJ	24	amod
24	things	NOUN	25	nsubj
25	happened	VERB	4	conj
26	to	PART	27	mark
27	make	VERB	25	xcomp
28	us	PRON	27	obj
29	want	VERB	27	xcomp
30	to	PART	31	mark
31	stay	VERB	29	xcomp
32	there	ADV	31	advmod
33	again	ADV	31	advmod
34	.	PUNCT	4	punct