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:
But he suffers the severe effects of the aftermath, and we are all suffering along with him now, since he is the most powerful man in the world.
Postion	Tokenization
1	But
2	he
3	suffers
4	the
5	severe
6	effects
7	of
8	the
9	aftermath
10	,
11	and
12	we
13	are
14	all
15	suffering
16	along
17	with
18	him
19	now
20	,
21	since
22	he
23	is
24	the
25	most
26	powerful
27	man
28	in
29	the
30	world
31	.
Position	Tokenization	UPOS	Head	Deprel
1	But	CCONJ	15	cc
2	he	PRON	3	nsubj
3	suffers	VERB	0	root
4	the	DET	6	det
5	severe	ADJ	6	amod
6	effects	NOUN	3	obj
7	of	ADP	9	case
8	the	DET	9	det
9	aftermath	NOUN	6	nmod
10	,	PUNCT	15	punct
11	and	CCONJ	15	cc
12	we	PRON	15	nsubj
13	are	AUX	15	aux
14	all	ADV	15	advmod
15	suffering	VERB	3	conj
16	along	ADP	18	case
17	with	ADP	18	case
18	him	PRON	15	obl
19	now	ADV	15	advmod
20	,	PUNCT	15	punct
21	since	SCONJ	27	mark
22	he	PRON	27	nsubj
23	is	AUX	27	cop
24	the	DET	27	det
25	most	ADV	26	advmod
26	powerful	ADJ	27	amod
27	man	NOUN	15	advcl
28	in	ADP	30	case
29	the	DET	30	det
30	world	NOUN	27	nmod
31	.	PUNCT	3	punct