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:
We have the technology; if you are going to spend billions of dollars touting "FREEDOM" why not spend those billions making all of us free?
Postion	Tokenization
1	We
2	have
3	the
4	technology
5	;
6	if
7	you
8	are
9	going
10	to
11	spend
12	billions
13	of
14	dollars
15	touting
16	"
17	FREEDOM
18	"
19	why
20	not
21	spend
22	those
23	billions
24	making
25	all
26	of
27	us
28	free
29	?
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	2	nsubj
2	have	VERB	0	root
3	the	DET	4	det
4	technology	NOUN	2	obj
5	;	PUNCT	2	punct
6	if	SCONJ	9	mark
7	you	PRON	9	nsubj
8	are	AUX	9	aux
9	going	VERB	21	advcl
10	to	PART	11	mark
11	spend	VERB	9	xcomp
12	billions	NOUN	11	obj
13	of	ADP	14	case
14	dollars	NOUN	12	nmod
15	touting	VERB	11	advcl
16	"	PUNCT	17	punct
17	FREEDOM	NOUN	15	obj
18	"	PUNCT	17	punct
19	why	ADV	21	advmod
20	not	PART	21	advmod
21	spend	VERB	2	parataxis
22	those	DET	23	det
23	billions	NOUN	21	obj
24	making	VERB	21	advcl
25	all	DET	24	obj
26	of	ADP	27	case
27	us	PRON	25	nmod
28	free	ADJ	24	xcomp
29	?	PUNCT	2	punct