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:
IEP will be hosting a dinner for California Governor Gray Davis on Thursday, December 7, 2000 at the historic Julia Morgan House in Sacramento.
Postion	Tokenization
1	IEP
2	will
3	be
4	hosting
5	a
6	dinner
7	for
8	California
9	Governor
10	Gray
11	Davis
12	on
13	Thursday
14	,
15	December
16	7
17	,
18	2000
19	at
20	the
21	historic
22	Julia
23	Morgan
24	House
25	in
26	Sacramento
27	.
Position	Tokenization	UPOS	Head	Deprel
1	IEP	PROPN	4	nsubj
2	will	AUX	4	aux
3	be	AUX	4	aux
4	hosting	VERB	0	root
5	a	DET	6	det
6	dinner	NOUN	4	obj
7	for	ADP	10	case
8	California	PROPN	9	compound
9	Governor	PROPN	10	compound
10	Gray	PROPN	6	nmod
11	Davis	PROPN	10	flat
12	on	ADP	13	case
13	Thursday	PROPN	4	obl
14	,	PUNCT	13	punct
15	December	PROPN	13	appos
16	7	NUM	15	nummod
17	,	PUNCT	13	punct
18	2000	NUM	13	nmod:tmod
19	at	ADP	24	case
20	the	DET	24	det
21	historic	ADJ	24	amod
22	Julia	PROPN	23	compound
23	Morgan	PROPN	24	compound
24	House	PROPN	4	obl
25	in	ADP	26	case
26	Sacramento	PROPN	24	nmod
27	.	PUNCT	4	punct