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:
The bus is obviously the cheaper option, and travelling up from Buenos Aires the trip is a full 20 hours, although the buses are very comfortable with spacious reclining seats.
Postion	Tokenization
1	The
2	bus
3	is
4	obviously
5	the
6	cheaper
7	option
8	,
9	and
10	travelling
11	up
12	from
13	Buenos
14	Aires
15	the
16	trip
17	is
18	a
19	full
20	20
21	hours
22	,
23	although
24	the
25	buses
26	are
27	very
28	comfortable
29	with
30	spacious
31	reclining
32	seats
33	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	2	det
2	bus	NOUN	7	nsubj
3	is	AUX	7	cop
4	obviously	ADV	7	advmod
5	the	DET	7	det
6	cheaper	ADJ	7	amod
7	option	NOUN	0	root
8	,	PUNCT	21	punct
9	and	CCONJ	21	cc
10	travelling	VERB	21	advcl
11	up	ADV	10	advmod
12	from	ADP	14	case
13	Buenos	PROPN	14	compound
14	Aires	PROPN	10	obl
15	the	DET	16	det
16	trip	NOUN	21	nsubj
17	is	AUX	21	cop
18	a	DET	21	det
19	full	ADJ	21	amod
20	20	NUM	21	nummod
21	hours	NOUN	7	conj
22	,	PUNCT	21	punct
23	although	SCONJ	28	mark
24	the	DET	25	det
25	buses	NOUN	28	nsubj
26	are	AUX	28	cop
27	very	ADV	28	advmod
28	comfortable	ADJ	21	advcl
29	with	ADP	32	case
30	spacious	ADJ	32	amod
31	reclining	VERB	32	amod
32	seats	NOUN	28	obl
33	.	PUNCT	7	punct