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:
I forgot to tell you that I saw your friend on a re-run Jeopardy the other night and I almost called you but it came on at 11:30.
Postion	Tokenization
1	I
2	forgot
3	to
4	tell
5	you
6	that
7	I
8	saw
9	your
10	friend
11	on
12	a
13	re-run
14	Jeopardy
15	the
16	other
17	night
18	and
19	I
20	almost
21	called
22	you
23	but
24	it
25	came
26	on
27	at
28	11:30
29	.
Position	Tokenization	UPOS	Head	Deprel
1	I	PRON	2	nsubj
2	forgot	VERB	0	root
3	to	PART	4	mark
4	tell	VERB	2	xcomp
5	you	PRON	4	iobj
6	that	SCONJ	8	mark
7	I	PRON	8	nsubj
8	saw	VERB	4	ccomp
9	your	PRON	10	nmod:poss
10	friend	NOUN	8	obj
11	on	ADP	14	case
12	a	DET	14	det
13	re-run	NOUN	14	compound
14	Jeopardy	PROPN	8	obl
15	the	DET	17	det
16	other	ADJ	17	amod
17	night	NOUN	8	obl:tmod
18	and	CCONJ	21	cc
19	I	PRON	21	nsubj
20	almost	ADV	21	advmod
21	called	VERB	2	conj
22	you	PRON	21	obj
23	but	CCONJ	25	cc
24	it	PRON	25	nsubj
25	came	VERB	2	conj
26	on	ADV	25	advmod
27	at	ADP	28	case
28	11:30	NUM	25	obl
29	.	PUNCT	2	punct