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 really want to go to andiamos for my birthday and i was just wondering how much it would cost for the four of us to eat there
Postion	Tokenization
1	I
2	really
3	want
4	to
5	go
6	to
7	andiamos
8	andiamo
9	s
10	for
11	my
12	birthday
13	and
14	i
15	was
16	just
17	wondering
18	how
19	much
20	it
21	would
22	cost
23	for
24	the
25	four
26	of
27	us
28	to
29	eat
30	there
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	really	ADV	3	advmod
3	want	VERB	0	root
4	to	PART	5	mark
5	go	VERB	3	xcomp
6	to	ADP	7	case
7	andiamos	_	None	_
8	andiamo	PROPN	5	obl
9	s	PART	7	case
10	for	ADP	11	case
11	my	PRON	11	nmod:poss
12	birthday	NOUN	5	obl
13	and	CCONJ	16	cc
14	i	PRON	16	nsubj
15	was	AUX	16	aux
16	just	ADV	16	advmod
17	wondering	VERB	3	conj
18	how	SCONJ	18	mark
19	much	ADJ	21	advmod
20	it	PRON	21	nsubj
21	would	AUX	21	aux
22	cost	VERB	16	ccomp
23	for	SCONJ	28	mark
24	the	DET	24	det
25	four	NUM	28	nsubj
26	of	ADP	26	case
27	us	PRON	24	nmod
28	to	PART	28	mark
29	eat	VERB	21	csubj
30	there	ADV	28	advmod