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:
We have updated our site to include a LOST and FOUND page and you can now join our branch and make a secure on-line donation to the charity.
Postion	Tokenization
1	We
2	have
3	updated
4	our
5	site
6	to
7	include
8	a
9	LOST
10	and
11	FOUND
12	page
13	and
14	you
15	can
16	now
17	join
18	our
19	branch
20	and
21	make
22	a
23	secure
24	on
25	-
26	line
27	donation
28	to
29	the
30	charity
31	.
Position	Tokenization	UPOS	Head	Deprel
1	We	PRON	3	nsubj
2	have	AUX	3	aux
3	updated	VERB	0	root
4	our	PRON	5	nmod:poss
5	site	NOUN	3	obj
6	to	PART	7	mark
7	include	VERB	3	advcl
8	a	DET	12	det
9	LOST	NOUN	12	compound
10	and	CCONJ	11	cc
11	FOUND	NOUN	9	conj
12	page	NOUN	7	obj
13	and	CCONJ	17	cc
14	you	PRON	17	nsubj
15	can	AUX	17	aux
16	now	ADV	17	advmod
17	join	VERB	3	conj
18	our	PRON	19	nmod:poss
19	branch	NOUN	17	obj
20	and	CCONJ	21	cc
21	make	VERB	17	conj
22	a	DET	27	det
23	secure	ADJ	27	amod
24	on	ADP	26	case
25	-	PUNCT	26	punct
26	line	NOUN	27	compound
27	donation	NOUN	21	obj
28	to	ADP	30	case
29	the	DET	30	det
30	charity	NOUN	27	nmod
31	.	PUNCT	3	punct