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 assume his actual reason is that he's worried that Berkshire Hathaway just can't grow quickly enough to justify his usual charity policy.
Postion	Tokenization
1	I
2	assume
3	his
4	actual
5	reason
6	is
7	that
8	he's
9	he
10	's
11	worried
12	that
13	Berkshire
14	Hathaway
15	just
16	can't
17	ca
18	n't
19	grow
20	quickly
21	enough
22	to
23	justify
24	his
25	usual
26	charity
27	policy
28	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	assume	VERB	0	root
3	his	PRON	5	nmod:poss
4	actual	ADJ	5	amod
5	reason	NOUN	6	nsubj
6	is	VERB	2	ccomp
7	that	SCONJ	10	mark
8	he's	_	None	_
9	he	PRON	10	nsubj
10	's	AUX	10	cop
11	worried	ADJ	6	ccomp
12	that	SCONJ	17	mark
13	Berkshire	PROPN	13	compound
14	Hathaway	PROPN	17	nsubj
15	just	ADV	17	advmod
16	can't	_	None	_
17	ca	AUX	17	aux
18	n't	PART	17	advmod
19	grow	VERB	10	ccomp
20	quickly	ADV	19	advmod
21	enough	ADV	17	advmod
22	to	PART	21	mark
23	justify	VERB	18	advcl
24	his	PRON	25	nmod:poss
25	usual	ADJ	25	amod
26	charity	NOUN	25	compound
27	policy	NOUN	21	obj
28	.	PUNCT	2	punct