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 called customer service about it because the website specifically states that there are no other charges at the check-in.
Postion	Tokenization
1	I
2	called
3	customer
4	service
5	about
6	it
7	because
8	the
9	website
10	specifically
11	states
12	that
13	there
14	are
15	no
16	other
17	charges
18	at
19	the
20	check
21	-
22	in
23	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	called	VERB	0	root
3	customer	NOUN	4	compound
4	service	NOUN	2	obj
5	about	ADP	6	case
6	it	PRON	2	obl
7	because	SCONJ	11	mark
8	the	DET	9	det
9	website	NOUN	11	nsubj
10	specifically	ADV	11	advmod
11	states	VERB	2	advcl
12	that	SCONJ	14	mark
13	there	PRON	14	expl
14	are	VERB	11	ccomp
15	no	DET	17	det
16	other	ADJ	17	amod
17	charges	NOUN	14	nsubj
18	at	ADP	22	case
19	the	DET	22	det
20	check	NOUN	22	compound
21	-	PUNCT	22	punct
22	in	NOUN	14	obl
23	.	PUNCT	2	punct