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:
Will the housing market in Dallas begin booming like the rest of the nation has due to the influx of buyers?
Postion	Tokenization
1	Will
2	the
3	housing
4	market
5	in
6	Dallas
7	begin
8	booming
9	like
10	the
11	rest
12	of
13	the
14	nation
15	has
16	due
17	to
18	the
19	influx
20	of
21	buyers
22	?
Position	Tokenization	UPOS	Head	Deprel
1	Will	AUX	7	aux
2	the	DET	4	det
3	housing	NOUN	4	compound
4	market	NOUN	7	nsubj
5	in	ADP	6	case
6	Dallas	PROPN	4	nmod
7	begin	VERB	0	root
8	booming	VERB	7	xcomp
9	like	SCONJ	15	mark
10	the	DET	11	det
11	rest	NOUN	15	nsubj
12	of	ADP	14	case
13	the	DET	14	det
14	nation	NOUN	11	nmod
15	has	VERB	8	advcl
16	due	ADP	19	case
17	to	ADP	16	fixed
18	the	DET	19	det
19	influx	NOUN	8	obl
20	of	ADP	21	case
21	buyers	NOUN	19	nmod
22	?	PUNCT	7	punct