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 highly coloured lithograph of the Faithful Hero seemed to look dimly, in the light of one candle, at the man with no faith in anything except the truth of his own sensations.
Postion	Tokenization
1	The
2	highly
3	coloured
4	lithograph
5	of
6	the
7	Faithful
8	Hero
9	seemed
10	to
11	look
12	dimly
13	,
14	in
15	the
16	light
17	of
18	one
19	candle
20	,
21	at
22	the
23	man
24	with
25	no
26	faith
27	in
28	anything
29	except
30	the
31	truth
32	of
33	his
34	own
35	sensations
36	.
Position	Tokenization	UPOS	Head	Deprel
1	The	DET	4	det
2	highly	ADV	3	advmod
3	coloured	ADJ	4	amod
4	lithograph	NOUN	9	nsubj
5	of	ADP	8	case
6	the	DET	8	det
7	Faithful	ADJ	8	amod
8	Hero	NOUN	4	nmod
9	seemed	VERB	0	root
10	to	PART	11	mark
11	look	VERB	9	xcomp
12	dimly	ADV	11	advmod
13	,	PUNCT	11	punct
14	in	ADP	16	case
15	the	DET	16	det
16	light	NOUN	11	obl
17	of	ADP	19	case
18	one	NUM	19	nummod
19	candle	NOUN	16	nmod
20	,	PUNCT	11	punct
21	at	ADP	23	case
22	the	DET	23	det
23	man	NOUN	11	obl
24	with	ADP	26	case
25	no	DET	26	det
26	faith	NOUN	23	nmod
27	in	ADP	28	case
28	anything	PRON	26	nmod
29	except	ADP	31	case
30	the	DET	31	det
31	truth	NOUN	28	nmod
32	of	ADP	35	case
33	his	PRON	35	nmod:poss
34	own	ADJ	35	amod
35	sensations	NOUN	31	nmod
36	.	PUNCT	9	punct