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 thouhgt it would be out of my price range but they really worked with me and now I couldnt be happier.
Postion	Tokenization
1	I
2	thouhgt
3	it
4	would
5	be
6	out
7	of
8	my
9	price
10	range
11	but
12	they
13	really
14	worked
15	with
16	me
17	and
18	now
19	I
20	couldnt
21	could
22	nt
23	be
24	happier
25	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	thouhgt	VERB	0	root
3	it	PRON	10	nsubj
4	would	AUX	10	aux
5	be	AUX	10	cop
6	out	ADP	10	case
7	of	ADP	10	case
8	my	PRON	10	nmod:poss
9	price	NOUN	10	compound
10	range	NOUN	2	ccomp
11	but	CCONJ	14	cc
12	they	PRON	14	nsubj
13	really	ADV	14	advmod
14	worked	VERB	2	conj
15	with	ADP	16	case
16	me	PRON	14	obl
17	and	CCONJ	23	cc
18	now	ADV	23	advmod
19	I	PRON	23	nsubj
20	couldnt	_	None	_
21	could	AUX	23	aux
22	nt	PART	23	advmod
23	be	AUX	23	cop
24	happier	ADJ	14	conj
25	.	PUNCT	2	punct