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:
How Would You Like To Know How YOU Can Live In A Beautiful NEW House That Is Custom-Designed To YOUR Specifications.........And At NO COST To You?
Postion	Tokenization
1	How
2	Would
3	You
4	Like
5	To
6	Know
7	How
8	YOU
9	Can
10	Live
11	In
12	A
13	Beautiful
14	NEW
15	House
16	That
17	Is
18	Custom
19	-
20	Designed
21	To
22	YOUR
23	Specifications
24	.........
25	And
26	At
27	NO
28	COST
29	To
30	You
31	?
Position	Tokenization	UPOS	Head	Deprel
1	How	ADV	4	advmod
2	Would	AUX	4	aux
3	You	PRON	4	nsubj
4	Like	VERB	0	root
5	To	PART	6	mark
6	Know	VERB	4	xcomp
7	How	ADV	10	advmod
8	YOU	PRON	10	nsubj
9	Can	AUX	10	aux
10	Live	VERB	6	ccomp
11	In	ADP	15	case
12	A	DET	15	det
13	Beautiful	ADJ	15	amod
14	NEW	ADJ	15	amod
15	House	NOUN	10	obl
16	That	PRON	20	nsubj:pass
17	Is	AUX	20	aux:pass
18	Custom	NOUN	20	obl:npmod
19	-	PUNCT	20	punct
20	Designed	VERB	15	acl:relcl
21	To	ADP	23	case
22	YOUR	PRON	23	nmod:poss
23	Specifications	NOUN	20	obl
24	.........	PUNCT	23	punct
25	And	CCONJ	28	cc
26	At	ADP	28	case
27	NO	DET	28	det
28	COST	NOUN	23	conj
29	To	ADP	30	case
30	You	PRON	28	nmod
31	?	PUNCT	4	punct