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:
It was an extremely amusing episode, watching Chalabi looking smug and amused, contrasted with Sha'lan, all serious and barely keeping himself from swearing.
Postion	Tokenization
1	It
2	was
3	an
4	extremely
5	amusing
6	episode
7	,
8	watching
9	Chalabi
10	looking
11	smug
12	and
13	amused
14	,
15	contrasted
16	with
17	Sha'lan
18	,
19	all
20	serious
21	and
22	barely
23	keeping
24	himself
25	from
26	swearing
27	.
Position	Tokenization	UPOS	Head	Deprel
1	It	PRON	6	nsubj
2	was	AUX	6	cop
3	an	DET	6	det
4	extremely	ADV	5	advmod
5	amusing	ADJ	6	amod
6	episode	NOUN	0	root
7	,	PUNCT	6	punct
8	watching	VERB	6	parataxis
9	Chalabi	PROPN	8	obj
10	looking	VERB	9	acl
11	smug	ADJ	10	xcomp
12	and	CCONJ	13	cc
13	amused	ADJ	11	conj
14	,	PUNCT	10	punct
15	contrasted	VERB	9	acl
16	with	ADP	17	case
17	Sha'lan	PROPN	15	obl
18	,	PUNCT	17	punct
19	all	ADV	20	advmod
20	serious	ADJ	17	amod
21	and	CCONJ	23	cc
22	barely	ADV	23	advmod
23	keeping	VERB	20	conj
24	himself	PRON	23	obj
25	from	SCONJ	26	mark
26	swearing	VERB	23	advcl
27	.	PUNCT	6	punct