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 played dumb and asked him questions that I already knew the answers to and he responded with half truths and a few falsehoods.
Postion	Tokenization
1	I
2	played
3	dumb
4	and
5	asked
6	him
7	questions
8	that
9	I
10	already
11	knew
12	the
13	answers
14	to
15	and
16	he
17	responded
18	with
19	half
20	truths
21	and
22	a
23	few
24	falsehoods
25	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	played	VERB	0	root
3	dumb	ADJ	2	xcomp
4	and	CCONJ	5	cc
5	asked	VERB	2	conj
6	him	PRON	5	iobj
7	questions	NOUN	5	obj
8	that	PRON	11	obj
9	I	PRON	11	nsubj
10	already	ADV	11	advmod
11	knew	VERB	7	acl:relcl
12	the	DET	13	det
13	answers	NOUN	11	obj
14	to	ADP	13	nmod
15	and	CCONJ	17	cc
16	he	PRON	17	nsubj
17	responded	VERB	2	conj
18	with	ADP	20	case
19	half	ADJ	20	amod
20	truths	NOUN	17	obl
21	and	CCONJ	24	cc
22	a	DET	24	det
23	few	ADJ	24	amod
24	falsehoods	NOUN	20	conj
25	.	PUNCT	2	punct