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:
With protests going on in the Chilean capital of Santiago (from the economic summit), President Bush visited Chinese President Hu Jintao and other key allies in Santiago.
Postion	Tokenization
1	With
2	protests
3	going
4	on
5	in
6	the
7	Chilean
8	capital
9	of
10	Santiago
11	(
12	from
13	the
14	economic
15	summit
16	)
17	,
18	President
19	Bush
20	visited
21	Chinese
22	President
23	Hu
24	Jintao
25	and
26	other
27	key
28	allies
29	in
30	Santiago
31	.
Position	Tokenization	UPOS	Head	Deprel
1	With	SCONJ	3	mark
2	protests	NOUN	3	nsubj
3	going	VERB	20	advcl
4	on	ADP	3	compound:prt
5	in	ADP	8	case
6	the	DET	8	det
7	Chilean	ADJ	8	amod
8	capital	NOUN	3	obl
9	of	ADP	10	case
10	Santiago	PROPN	8	nmod
11	(	PUNCT	15	punct
12	from	ADP	15	case
13	the	DET	15	det
14	economic	ADJ	15	amod
15	summit	NOUN	3	obl
16	)	PUNCT	15	punct
17	,	PUNCT	20	punct
18	President	PROPN	20	nsubj
19	Bush	PROPN	18	flat
20	visited	VERB	0	root
21	Chinese	ADJ	22	amod
22	President	PROPN	20	obj
23	Hu	PROPN	22	flat
24	Jintao	PROPN	22	flat
25	and	CCONJ	28	cc
26	other	ADJ	28	amod
27	key	ADJ	28	amod
28	allies	NOUN	22	conj
29	in	ADP	30	case
30	Santiago	PROPN	28	nmod
31	.	PUNCT	20	punct