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:
Now that Sibley is not a candidate for Lt. Governor, there is more freedom to open up and ask some difficult questions.
Postion	Tokenization
1	Now
2	that
3	Sibley
4	is
5	not
6	a
7	candidate
8	for
9	Lt.
10	Governor
11	,
12	there
13	is
14	more
15	freedom
16	to
17	open
18	up
19	and
20	ask
21	some
22	difficult
23	questions
24	.
Position	Tokenization	UPOS	Head	Deprel
1	Now	ADV	13	advmod
2	that	SCONJ	7	mark
3	Sibley	PROPN	7	nsubj
4	is	AUX	7	cop
5	not	PART	7	advmod
6	a	DET	7	det
7	candidate	NOUN	1	ccomp
8	for	ADP	9	case
9	Lt.	PROPN	7	nmod
10	Governor	PROPN	9	flat
11	,	PUNCT	13	punct
12	there	PRON	13	expl
13	is	VERB	0	root
14	more	ADJ	15	amod
15	freedom	NOUN	13	nsubj
16	to	PART	17	mark
17	open	VERB	15	acl
18	up	ADP	17	compound:prt
19	and	CCONJ	20	cc
20	ask	VERB	17	conj
21	some	DET	23	det
22	difficult	ADJ	23	amod
23	questions	NOUN	20	obj
24	.	PUNCT	13	punct