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:
He could bear no longer that expressionless and motionless stare, which seemed to have a sort of impenetrable emptiness like the black depth of an abyss.
Postion	Tokenization
1	He
2	could
3	bear
4	no
5	longer
6	that
7	expressionless
8	and
9	motionless
10	stare
11	,
12	which
13	seemed
14	to
15	have
16	a
17	sort
18	of
19	impenetrable
20	emptiness
21	like
22	the
23	black
24	depth
25	of
26	an
27	abyss
28	.
Position	Tokenization	UPOS	Head	Deprel
1	He	PRON	3	nsubj
2	could	AUX	3	aux
3	bear	VERB	0	root
4	no	ADV	5	advmod
5	longer	ADV	3	advmod
6	that	DET	10	det
7	expressionless	ADJ	10	amod
8	and	CCONJ	9	cc
9	motionless	ADJ	7	conj
10	stare	NOUN	3	obj
11	,	PUNCT	10	punct
12	which	PRON	13	nsubj
13	seemed	VERB	10	acl:relcl
14	to	PART	15	mark
15	have	VERB	13	xcomp
16	a	DET	17	det
17	sort	NOUN	15	obj
18	of	ADP	20	case
19	impenetrable	ADJ	20	amod
20	emptiness	NOUN	17	nmod
21	like	ADP	24	case
22	the	DET	24	det
23	black	ADJ	24	amod
24	depth	NOUN	20	nmod
25	of	ADP	27	case
26	an	DET	27	det
27	abyss	NOUN	24	nmod
28	.	PUNCT	3	punct