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 guess the questions on which I should like your steer are: (a) Do you have a particular sensitivity about the reference to bad faith proceedings made by United India?
Postion	Tokenization
1	I
2	guess
3	the
4	questions
5	on
6	which
7	I
8	should
9	like
10	your
11	steer
12	are
13	:
14	(
15	a
16	)
17	Do
18	you
19	have
20	a
21	particular
22	sensitivity
23	about
24	the
25	reference
26	to
27	bad
28	faith
29	proceedings
30	made
31	by
32	United
33	India
34	?
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	guess	VERB	0	root
3	the	DET	4	det
4	questions	NOUN	12	nsubj
5	on	ADP	6	case
6	which	PRON	9	obl
7	I	PRON	9	nsubj
8	should	AUX	9	aux
9	like	VERB	4	acl:relcl
10	your	PRON	11	nmod:poss
11	steer	NOUN	9	obj
12	are	VERB	2	ccomp
13	:	PUNCT	12	punct
14	(	PUNCT	15	punct
15	a	X	19	nummod
16	)	PUNCT	15	punct
17	Do	AUX	19	aux
18	you	PRON	19	nsubj
19	have	VERB	12	parataxis
20	a	DET	22	det
21	particular	ADJ	22	amod
22	sensitivity	NOUN	19	obj
23	about	ADP	25	case
24	the	DET	25	det
25	reference	NOUN	22	nmod
26	to	ADP	29	case
27	bad	ADJ	28	amod
28	faith	NOUN	29	compound
29	proceedings	NOUN	25	nmod
30	made	VERB	29	acl
31	by	ADP	33	case
32	United	PROPN	33	compound
33	India	PROPN	30	obl
34	?	PUNCT	2	punct