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:
Stephanie's knowledge of the market and properties in our price range, made us feel secure in our decision to buy when we did.
Postion	Tokenization
1	Stephanie's
2	Stephanie
3	's
4	knowledge
5	of
6	the
7	market
8	and
9	properties
10	in
11	our
12	price
13	range
14	,
15	made
16	us
17	feel
18	secure
19	in
20	our
21	decision
22	to
23	buy
24	when
25	we
26	did
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Stephanie's	_	None	_
2	Stephanie	PROPN	3	nmod:poss
3	's	PART	1	case
4	knowledge	NOUN	14	nsubj
5	of	ADP	6	case
6	the	DET	6	det
7	market	NOUN	3	nmod
8	and	CCONJ	8	cc
9	properties	NOUN	6	conj
10	in	ADP	12	case
11	our	PRON	12	nmod:poss
12	price	NOUN	12	compound
13	range	NOUN	8	nmod
14	,	PUNCT	14	punct
15	made	VERB	0	root
16	us	PRON	14	obj
17	feel	VERB	15	xcomp
18	secure	ADJ	16	xcomp
19	in	ADP	20	case
20	our	PRON	20	nmod:poss
21	decision	NOUN	17	obl
22	to	PART	22	mark
23	buy	VERB	20	acl
24	when	SCONJ	25	mark
25	we	PRON	25	nsubj
26	did	AUX	22	advcl
27	.	PUNCT	14	punct