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:
On the other hand, the Richmond Ukrops chain is known for its charity work, its community action, and its interest in the public welfare.
Postion	Tokenization
1	On
2	the
3	other
4	hand
5	,
6	the
7	Richmond
8	Ukrops
9	chain
10	is
11	known
12	for
13	its
14	charity
15	work
16	,
17	its
18	community
19	action
20	,
21	and
22	its
23	interest
24	in
25	the
26	public
27	welfare
28	.
Position	Tokenization	UPOS	Head	Deprel
1	On	ADP	4	case
2	the	DET	4	det
3	other	ADJ	4	amod
4	hand	NOUN	11	obl
5	,	PUNCT	11	punct
6	the	DET	9	det
7	Richmond	PROPN	9	compound
8	Ukrops	PROPN	9	compound
9	chain	NOUN	11	nsubj:pass
10	is	AUX	11	aux:pass
11	known	VERB	0	root
12	for	ADP	15	case
13	its	PRON	15	nmod:poss
14	charity	NOUN	15	compound
15	work	NOUN	11	obl
16	,	PUNCT	19	punct
17	its	PRON	19	nmod:poss
18	community	NOUN	19	compound
19	action	NOUN	15	conj
20	,	PUNCT	23	punct
21	and	CCONJ	23	cc
22	its	PRON	23	nmod:poss
23	interest	NOUN	15	conj
24	in	ADP	27	case
25	the	DET	27	det
26	public	ADJ	27	amod
27	welfare	NOUN	23	nmod
28	.	PUNCT	11	punct