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:
From a moral standpoint,you guys are really gonna take 2,000 bucks from someone that needs that truck to work and support his family when you know its just a piece of scrap metal?
Postion	Tokenization
1	From
2	a
3	moral
4	standpoint
5	,
6	you
7	guys
8	are
9	really
10	gon
11	na
12	take
13	2,000
14	bucks
15	from
16	someone
17	that
18	needs
19	that
20	truck
21	to
22	work
23	and
24	support
25	his
26	family
27	when
28	you
29	know
30	its
31	it
32	s
33	just
34	a
35	piece
36	of
37	scrap
38	metal
39	?
Position	Tokenization	UPOS	Head	Deprel
1	From	ADP	4	case
2	a	DET	4	det
3	moral	ADJ	4	amod
4	standpoint	NOUN	10	obl
5	,	PUNCT	10	punct
6	you	PRON	7	det
7	guys	NOUN	10	nsubj
8	are	AUX	10	aux
9	really	ADV	10	advmod
10	gon	VERB	0	root
11	na	PART	12	mark
12	take	VERB	10	xcomp
13	2,000	NUM	14	nummod
14	bucks	NOUN	12	obj
15	from	ADP	16	case
16	someone	PRON	12	obl
17	that	PRON	18	nsubj
18	needs	VERB	16	acl:relcl
19	that	DET	20	det
20	truck	NOUN	18	obj
21	to	PART	22	mark
22	work	VERB	18	xcomp
23	and	CCONJ	24	cc
24	support	VERB	22	conj
25	his	PRON	26	nmod:poss
26	family	NOUN	24	obj
27	when	SCONJ	29	mark
28	you	PRON	29	nsubj
29	know	VERB	12	advcl
30	its	_	None	_
31	it	PRON	34	nsubj
32	s	AUX	34	cop
33	just	ADV	34	advmod
34	a	DET	34	det
35	piece	NOUN	29	ccomp
36	of	ADP	37	case
37	scrap	NOUN	37	compound
38	metal	NOUN	34	nmod
39	?	PUNCT	10	punct