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:
There would be four of us so we would probably be looking at 2 twin rooms for Rs1000, close to the centre of these cities.
Postion	Tokenization
1	There
2	would
3	be
4	four
5	of
6	us
7	so
8	we
9	would
10	probably
11	be
12	looking
13	at
14	2
15	twin
16	rooms
17	for
18	Rs
19	1000
20	,
21	close
22	to
23	the
24	centre
25	of
26	these
27	cities
28	.
Position	Tokenization	UPOS	Head	Deprel
1	There	PRON	3	expl
2	would	AUX	3	aux
3	be	VERB	0	root
4	four	NUM	3	nsubj
5	of	ADP	6	case
6	us	PRON	4	nmod
7	so	ADV	12	advmod
8	we	PRON	12	nsubj
9	would	AUX	12	aux
10	probably	ADV	12	advmod
11	be	AUX	12	aux
12	looking	VERB	3	ccomp
13	at	ADP	16	case
14	2	NUM	16	nummod
15	twin	NOUN	16	compound
16	rooms	NOUN	12	obl
17	for	ADP	18	case
18	Rs	SYM	16	nmod
19	1000	NUM	18	nummod
20	,	PUNCT	16	punct
21	close	ADV	16	amod
22	to	ADP	24	case
23	the	DET	24	det
24	centre	NOUN	21	obl
25	of	ADP	27	case
26	these	DET	27	det
27	cities	NOUN	24	nmod
28	.	PUNCT	4	punct