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:
em ... no ... the Gates foundation mainly invests in medical research and education, that means donating now adds a tremendous value compared to donating in ten years.
Postion	Tokenization
1	em
2	...
3	no
4	...
5	the
6	Gates
7	foundation
8	mainly
9	invests
10	in
11	medical
12	research
13	and
14	education
15	,
16	that
17	means
18	donating
19	now
20	adds
21	a
22	tremendous
23	value
24	compared
25	to
26	donating
27	in
28	ten
29	years
30	.
Position	Tokenization	UPOS	Head	Deprel
1	em	INTJ	9	discourse
2	...	PUNCT	9	punct
3	no	INTJ	9	discourse
4	...	PUNCT	9	punct
5	the	DET	7	det
6	Gates	PROPN	7	compound
7	foundation	NOUN	9	nsubj
8	mainly	ADV	9	advmod
9	invests	VERB	0	root
10	in	ADP	12	case
11	medical	ADJ	12	amod
12	research	NOUN	9	obl
13	and	CCONJ	14	cc
14	education	NOUN	12	conj
15	,	PUNCT	9	punct
16	that	PRON	17	nsubj
17	means	VERB	9	parataxis
18	donating	VERB	20	csubj
19	now	ADV	18	advmod
20	adds	VERB	17	ccomp
21	a	DET	23	det
22	tremendous	ADJ	23	amod
23	value	NOUN	20	obj
24	compared	VERB	26	mark
25	to	SCONJ	26	mark
26	donating	VERB	20	obl
27	in	ADP	29	case
28	ten	NUM	29	nummod
29	years	NOUN	26	obl
30	.	PUNCT	9	punct