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:
well if your desired boarding station comes after more than 2 or 3 halts of the actual boarding point, then the TC will cancel you ticket and allot the seat to others.
Postion	Tokenization
1	well
2	if
3	your
4	desired
5	boarding
6	station
7	comes
8	after
9	more
10	than
11	2
12	or
13	3
14	halts
15	of
16	the
17	actual
18	boarding
19	point
20	,
21	then
22	the
23	TC
24	will
25	cancel
26	you
27	ticket
28	and
29	allot
30	the
31	seat
32	to
33	others
34	.
Position	Tokenization	UPOS	Head	Deprel
1	well	INTJ	25	discourse
2	if	SCONJ	7	mark
3	your	PRON	6	nmod:poss
4	desired	VERB	6	amod
5	boarding	NOUN	6	compound
6	station	NOUN	7	nsubj
7	comes	VERB	25	advcl
8	after	ADP	14	case
9	more	ADJ	11	advmod
10	than	ADP	9	fixed
11	2	NUM	14	nummod
12	or	CCONJ	13	cc
13	3	NUM	11	conj
14	halts	NOUN	7	obl
15	of	ADP	19	case
16	the	DET	19	det
17	actual	ADJ	19	amod
18	boarding	NOUN	19	compound
19	point	NOUN	14	nmod
20	,	PUNCT	25	punct
21	then	ADV	25	advmod
22	the	DET	23	det
23	TC	NOUN	25	nsubj
24	will	AUX	25	aux
25	cancel	VERB	0	root
26	you	PRON	27	nmod:poss
27	ticket	NOUN	25	obj
28	and	CCONJ	29	cc
29	allot	VERB	25	conj
30	the	DET	31	det
31	seat	NOUN	29	obj
32	to	ADP	33	case
33	others	NOUN	29	obl
34	.	PUNCT	25	punct