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:
At weekend press conferences in Salt Lake City and Phoenix, FBI and state officials said Jeffs "is considered armed and dangerous and may be traveling with armed bodyguards."
Postion	Tokenization
1	At
2	weekend
3	press
4	conferences
5	in
6	Salt
7	Lake
8	City
9	and
10	Phoenix
11	,
12	FBI
13	and
14	state
15	officials
16	said
17	Jeffs
18	"
19	is
20	considered
21	armed
22	and
23	dangerous
24	and
25	may
26	be
27	traveling
28	with
29	armed
30	bodyguards
31	.
32	"
Position	Tokenization	UPOS	Head	Deprel
1	At	ADP	4	case
2	weekend	NOUN	4	compound
3	press	NOUN	4	compound
4	conferences	NOUN	16	obl
5	in	ADP	8	case
6	Salt	PROPN	7	compound
7	Lake	PROPN	8	compound
8	City	PROPN	4	nmod
9	and	CCONJ	10	cc
10	Phoenix	PROPN	8	conj
11	,	PUNCT	16	punct
12	FBI	PROPN	15	compound
13	and	CCONJ	14	cc
14	state	NOUN	12	conj
15	officials	NOUN	16	nsubj
16	said	VERB	0	root
17	Jeffs	PROPN	20	nsubj:pass
18	"	PUNCT	20	punct
19	is	AUX	20	aux:pass
20	considered	VERB	16	ccomp
21	armed	ADJ	20	xcomp
22	and	CCONJ	23	cc
23	dangerous	ADJ	21	conj
24	and	CCONJ	27	cc
25	may	AUX	27	aux
26	be	AUX	27	aux
27	traveling	VERB	20	conj
28	with	ADP	30	case
29	armed	ADJ	30	amod
30	bodyguards	NOUN	27	obl
31	.	PUNCT	16	punct
32	"	PUNCT	16	punct