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:
It was a great deal--we paid a certain amount per person, and my husband and I chose 4 types of pizza and the servers brought out as much as we wanted.
Postion	Tokenization
1	It
2	was
3	a
4	great
5	deal
6	--
7	we
8	paid
9	a
10	certain
11	amount
12	per
13	person
14	,
15	and
16	my
17	husband
18	and
19	I
20	chose
21	4
22	types
23	of
24	pizza
25	and
26	the
27	servers
28	brought
29	out
30	as
31	much
32	as
33	we
34	wanted
35	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	5	nsubj
2	was	AUX	5	cop
3	a	DET	5	det
4	great	ADJ	5	amod
5	deal	NOUN	0	root
6	--	PUNCT	5	punct
7	we	PRON	8	nsubj
8	paid	VERB	5	parataxis
9	a	DET	11	det
10	certain	ADJ	11	amod
11	amount	NOUN	8	obj
12	per	ADP	13	case
13	person	NOUN	11	nmod
14	,	PUNCT	20	punct
15	and	CCONJ	20	cc
16	my	PRON	17	nmod:poss
17	husband	NOUN	20	nsubj
18	and	CCONJ	19	cc
19	I	PRON	17	conj
20	chose	VERB	5	conj
21	4	NUM	22	nummod
22	types	NOUN	20	obj
23	of	ADP	24	case
24	pizza	NOUN	22	nmod
25	and	CCONJ	28	cc
26	the	DET	27	det
27	servers	NOUN	28	nsubj
28	brought	VERB	5	conj
29	out	ADV	28	advmod
30	as	ADV	31	advmod
31	much	ADJ	28	obj
32	as	SCONJ	34	mark
33	we	PRON	34	nsubj
34	wanted	VERB	31	advcl
35	.	PUNCT	5	punct