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:
Specifically, Jeffs is charged in Utah and Arizona with sexual assault of underage girls and with arranging "spiritual" marriages for girls and older men.
Postion	Tokenization
1	Specifically
2	,
3	Jeffs
4	is
5	charged
6	in
7	Utah
8	and
9	Arizona
10	with
11	sexual
12	assault
13	of
14	underage
15	girls
16	and
17	with
18	arranging
19	"
20	spiritual
21	"
22	marriages
23	for
24	girls
25	and
26	older
27	men
28	.
Position	Tokenization	UPOS	Head	Deprel
1	Specifically	ADV	5	advmod
2	,	PUNCT	5	punct
3	Jeffs	PROPN	5	nsubj:pass
4	is	AUX	5	aux:pass
5	charged	VERB	0	root
6	in	ADP	7	case
7	Utah	PROPN	5	obl
8	and	CCONJ	9	cc
9	Arizona	PROPN	7	conj
10	with	ADP	12	case
11	sexual	ADJ	12	amod
12	assault	NOUN	5	obl
13	of	ADP	15	case
14	underage	ADJ	15	amod
15	girls	NOUN	12	nmod
16	and	CCONJ	18	cc
17	with	SCONJ	18	mark
18	arranging	VERB	12	conj
19	"	PUNCT	22	punct
20	spiritual	ADJ	22	amod
21	"	PUNCT	22	punct
22	marriages	NOUN	18	obj
23	for	ADP	24	case
24	girls	NOUN	22	nmod
25	and	CCONJ	27	cc
26	older	ADJ	27	amod
27	men	NOUN	24	conj
28	.	PUNCT	5	punct