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:
Even though we were only supposed to have those specific types of pizza, when guests asked for a different type, it was brought out with no charge to us!
Postion	Tokenization
1	Even
2	though
3	we
4	were
5	only
6	supposed
7	to
8	have
9	those
10	specific
11	types
12	of
13	pizza
14	,
15	when
16	guests
17	asked
18	for
19	a
20	different
21	type
22	,
23	it
24	was
25	brought
26	out
27	with
28	no
29	charge
30	to
31	us
32	!
Position	Tokenization	UPOS	Head	Deprel
1	Even	ADV	6	advmod
2	though	SCONJ	6	mark
3	we	PRON	6	nsubj
4	were	AUX	6	aux
5	only	ADV	6	advmod
6	supposed	VERB	25	advcl
7	to	PART	8	mark
8	have	VERB	6	xcomp
9	those	DET	11	det
10	specific	ADJ	11	amod
11	types	NOUN	8	obj
12	of	ADP	13	case
13	pizza	NOUN	11	nmod
14	,	PUNCT	25	punct
15	when	SCONJ	17	mark
16	guests	NOUN	17	nsubj
17	asked	VERB	25	advcl
18	for	ADP	21	case
19	a	DET	21	det
20	different	ADJ	21	amod
21	type	NOUN	17	obl
22	,	PUNCT	25	punct
23	it	PRON	25	nsubj:pass
24	was	AUX	25	aux:pass
25	brought	VERB	0	root
26	out	ADV	25	advmod
27	with	ADP	29	case
28	no	DET	29	det
29	charge	NOUN	25	obl
30	to	ADP	31	case
31	us	PRON	29	nmod
32	!	PUNCT	25	punct