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:
What you see in New Orleans is a perfect example of the downfalls of the welfare system, a form of socialism that many in this country know is the true problem.
Postion	Tokenization
1	What
2	you
3	see
4	in
5	New
6	Orleans
7	is
8	a
9	perfect
10	example
11	of
12	the
13	downfalls
14	of
15	the
16	welfare
17	system
18	,
19	a
20	form
21	of
22	socialism
23	that
24	many
25	in
26	this
27	country
28	know
29	is
30	the
31	true
32	problem
33	.
Position	Tokenization	UPOS	Head	Deprel
1	What	PRON	10	nsubj
2	you	PRON	3	nsubj
3	see	VERB	1	acl:relcl
4	in	ADP	6	case
5	New	PROPN	6	compound
6	Orleans	PROPN	3	obl
7	is	AUX	10	cop
8	a	DET	10	det
9	perfect	ADJ	10	amod
10	example	NOUN	0	root
11	of	ADP	13	case
12	the	DET	13	det
13	downfalls	NOUN	10	nmod
14	of	ADP	17	case
15	the	DET	17	det
16	welfare	NOUN	17	compound
17	system	NOUN	13	nmod
18	,	PUNCT	17	punct
19	a	DET	20	det
20	form	NOUN	17	appos
21	of	ADP	22	case
22	socialism	NOUN	20	nmod
23	that	PRON	32	nsubj
24	many	ADJ	28	nsubj
25	in	ADP	27	case
26	this	DET	27	det
27	country	NOUN	24	obl
28	know	VERB	20	acl:relcl
29	is	AUX	32	cop
30	the	DET	32	det
31	true	ADJ	32	amod
32	problem	NOUN	28	ccomp
33	.	PUNCT	10	punct