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:
I rarely listen to the news or to what politicians or lawyers say because so many tell lies that none have credibility so what's the point?
Postion	Tokenization
1	I
2	rarely
3	listen
4	to
5	the
6	news
7	or
8	to
9	what
10	politicians
11	or
12	lawyers
13	say
14	because
15	so
16	many
17	tell
18	lies
19	that
20	none
21	have
22	credibility
23	so
24	what's
25	what
26	's
27	the
28	point
29	?
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	rarely	ADV	3	advmod
3	listen	VERB	0	root
4	to	ADP	6	case
5	the	DET	6	det
6	news	NOUN	3	obl
7	or	CCONJ	9	cc
8	to	SCONJ	9	case
9	what	PRON	6	conj
10	politicians	NOUN	13	nsubj
11	or	CCONJ	12	cc
12	lawyers	NOUN	10	conj
13	say	VERB	9	acl:relcl
14	because	SCONJ	17	mark
15	so	ADV	16	advmod
16	many	ADJ	17	nsubj
17	tell	VERB	3	advcl
18	lies	NOUN	17	obj
19	that	SCONJ	21	mark
20	none	NOUN	21	nsubj
21	have	VERB	17	ccomp
22	credibility	NOUN	21	obj
23	so	ADV	24	advmod
24	what's	_	None	_
25	what	PRON	21	conj
26	's	AUX	24	cop
27	the	DET	27	det
28	point	NOUN	24	nsubj
29	?	PUNCT	3	punct