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 primer ministro, Mme Khaleda Zia, ha dicho que el EX beatle inspiró la libertad de su pueblo, independizado de Pakistán.
Postion	Tokenization
1	El
2	primer
3	ministro
4	,
5	Mme
6	Khaleda
7	Zia
8	,
9	ha
10	dicho
11	que
12	el
13	EX
14	beatle
15	inspiró
16	la
17	libertad
18	de
19	su
20	pueblo
21	,
22	independizado
23	de
24	Pakistán
25	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	3	det
2	primer	ADJ	3	amod
3	ministro	NOUN	10	nsubj
4	,	PUNCT	5	punct
5	Mme	PROPN	3	appos
6	Khaleda	PROPN	5	flat
7	Zia	PROPN	5	flat
8	,	PUNCT	5	punct
9	ha	AUX	10	aux
10	dicho	VERB	0	root
11	que	SCONJ	15	mark
12	el	DET	14	det
13	EX	ADJ	14	amod
14	beatle	NOUN	15	nsubj
15	inspiró	VERB	10	ccomp
16	la	DET	17	det
17	libertad	NOUN	15	obj
18	de	ADP	20	case
19	su	DET	20	det
20	pueblo	NOUN	17	nmod
21	,	PUNCT	22	punct
22	independizado	ADJ	20	amod
23	de	ADP	24	case
24	Pakistán	PROPN	22	obj
25	.	PUNCT	10	punct