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 was planning to be on vacation anyway, but I may have some accessibility challenges in Ft. Worth which I would not have had otherwise.
Postion	Tokenization
1	I
2	was
3	planning
4	to
5	be
6	on
7	vacation
8	anyway
9	,
10	but
11	I
12	may
13	have
14	some
15	accessibility
16	challenges
17	in
18	Ft.
19	Worth
20	which
21	I
22	would
23	not
24	have
25	had
26	otherwise
27	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	3	nsubj
2	was	AUX	3	aux
3	planning	VERB	0	root
4	to	PART	7	mark
5	be	AUX	7	cop
6	on	ADP	7	case
7	vacation	NOUN	3	xcomp
8	anyway	ADV	7	advmod
9	,	PUNCT	13	punct
10	but	CCONJ	13	cc
11	I	PRON	13	nsubj
12	may	AUX	13	aux
13	have	VERB	3	conj
14	some	DET	16	det
15	accessibility	NOUN	16	compound
16	challenges	NOUN	13	obj
17	in	ADP	19	case
18	Ft.	PROPN	19	compound
19	Worth	PROPN	16	nmod
20	which	PRON	25	obj
21	I	PRON	25	nsubj
22	would	AUX	25	aux
23	not	PART	25	advmod
24	have	AUX	25	aux
25	had	VERB	16	acl:relcl
26	otherwise	ADV	25	advmod
27	.	PUNCT	3	punct