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:
El rais egipcio y el presidente español expresaron dos visiones algo diferenciadas respecto al problema del terrorismo en el caso palestino.
Postion	Tokenization
1	El
2	rais
3	egipcio
4	y
5	el
6	presidente
7	español
8	expresaron
9	dos
10	visiones
11	algo
12	diferenciadas
13	respecto
14	al
15	problema
16	del
17	terrorismo
18	en
19	el
20	caso
21	palestino
22	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	rais	NOUN	8	nsubj
3	egipcio	ADJ	2	amod
4	y	CCONJ	6	cc
5	el	DET	6	det
6	presidente	NOUN	2	conj
7	español	ADJ	6	amod
8	expresaron	VERB	0	root
9	dos	NUM	10	nummod
10	visiones	NOUN	8	obj
11	algo	ADV	12	advmod
12	diferenciadas	ADJ	10	amod
13	respecto	NOUN	15	case
14	al	ADP	13	fixed
15	problema	NOUN	10	nmod
16	del	ADP	17	case
17	terrorismo	NOUN	15	nmod
18	en	ADP	20	case
19	el	DET	20	det
20	caso	NOUN	15	nmod
21	palestino	ADJ	20	amod
22	.	PUNCT	8	punct