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:
30 - Length of time in months between Enron's collapse and Lay (whom the President called "Kenny Boy") still not being charged with a crime.
Postion	Tokenization
1	30
2	-
3	Length
4	of
5	time
6	in
7	months
8	between
9	Enron's
10	Enron
11	's
12	collapse
13	and
14	Lay
15	(
16	whom
17	the
18	President
19	called
20	"
21	Kenny
22	Boy
23	"
24	)
25	still
26	not
27	being
28	charged
29	with
30	a
31	crime
32	.
Position	Tokenization	UPOS	Head	Deprel
1	30	NUM	0	root
2	-	PUNCT	1	punct
3	Length	NOUN	1	appos
4	of	ADP	5	case
5	time	NOUN	3	nmod
6	in	ADP	7	case
7	months	NOUN	3	nmod
8	between	ADP	11	case
9	Enron's	_	None	_
10	Enron	PROPN	11	nmod:poss
11	's	PART	9	case
12	collapse	NOUN	3	nmod
13	and	CCONJ	27	cc
14	Lay	PROPN	27	nsubj:pass
15	(	PUNCT	18	punct
16	whom	PRON	18	obj
17	the	DET	17	det
18	President	NOUN	18	nsubj
19	called	VERB	13	acl:relcl
20	"	PUNCT	21	punct
21	Kenny	PROPN	21	compound
22	Boy	PROPN	18	xcomp
23	"	PUNCT	21	punct
24	)	PUNCT	18	punct
25	still	ADV	27	advmod
26	not	ADV	27	advmod
27	being	AUX	27	aux:pass
28	charged	VERB	11	conj
29	with	ADP	30	case
30	a	DET	30	det
31	crime	NOUN	27	obl
32	.	PUNCT	1	punct