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:
As first-time home buyers, my husband and I found Stephanie Fairchild at Prudential Steamboat Realty, extremely helpful.
Postion	Tokenization
1	As
2	first
3	-
4	time
5	home
6	buyers
7	,
8	my
9	husband
10	and
11	I
12	found
13	Stephanie
14	Fairchild
15	at
16	Prudential
17	Steamboat
18	Realty
19	,
20	extremely
21	helpful
22	.
Position	Tokenization	UPOS	Head	Deprel
1	As	ADP	6	case
2	first	ADJ	4	amod
3	-	PUNCT	4	punct
4	time	NOUN	6	compound
5	home	NOUN	6	compound
6	buyers	NOUN	12	obl
7	,	PUNCT	12	punct
8	my	PRON	9	nmod:poss
9	husband	NOUN	12	nsubj
10	and	CCONJ	11	cc
11	I	PRON	9	conj
12	found	VERB	0	root
13	Stephanie	PROPN	12	obj
14	Fairchild	PROPN	13	flat
15	at	ADP	18	case
16	Prudential	PROPN	18	compound
17	Steamboat	PROPN	18	compound
18	Realty	PROPN	13	nmod
19	,	PUNCT	21	punct
20	extremely	ADV	21	advmod
21	helpful	ADJ	12	xcomp
22	.	PUNCT	12	punct