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:
A similar entity (1179) was assigned to Commodity and Trade (Todd Richards and Mary Fischer) so this one should be assigned to them as well.
Postion	Tokenization
1	A
2	similar
3	entity
4	(
5	1179
6	)
7	was
8	assigned
9	to
10	Commodity
11	and
12	Trade
13	(
14	Todd
15	Richards
16	and
17	Mary
18	Fischer
19	)
20	so
21	this
22	one
23	should
24	be
25	assigned
26	to
27	them
28	as
29	well
30	.
Position	Tokenization	UPOS	Head	Deprel
1	A	DET	3	det
2	similar	ADJ	3	amod
3	entity	NOUN	8	nsubj:pass
4	(	PUNCT	3	punct
5	1179	NUM	3	appos
6	)	PUNCT	3	punct
7	was	AUX	8	aux:pass
8	assigned	VERB	0	root
9	to	ADP	10	case
10	Commodity	NOUN	8	obl
11	and	CCONJ	12	cc
12	Trade	NOUN	10	conj
13	(	PUNCT	10	punct
14	Todd	PROPN	10	parataxis
15	Richards	PROPN	14	flat
16	and	CCONJ	17	cc
17	Mary	PROPN	14	conj
18	Fischer	PROPN	17	flat
19	)	PUNCT	10	punct
20	so	ADV	25	advmod
21	this	DET	22	det
22	one	NOUN	25	nsubj:pass
23	should	AUX	25	aux
24	be	AUX	25	aux:pass
25	assigned	VERB	8	conj
26	to	ADP	27	case
27	them	PRON	25	obl
28	as	ADV	25	advmod
29	well	ADV	28	fixed
30	.	PUNCT	8	punct