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:
Pero la burla ha despertado la ira de los polacos más identificados con el papa Wojtyla y ha causado malestar y desagrado incluso entre los partidarios y simpatizantes de Kwasniewski.
Postion	Tokenization
1	Pero
2	la
3	burla
4	ha
5	despertado
6	la
7	ira
8	de
9	los
10	polacos
11	más
12	identificados
13	con
14	el
15	papa
16	Wojtyla
17	y
18	ha
19	causado
20	malestar
21	y
22	desagrado
23	incluso
24	entre
25	los
26	partidarios
27	y
28	simpatizantes
29	de
30	Kwasniewski
31	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	5	cc
2	la	DET	3	det
3	burla	NOUN	5	nsubj
4	ha	AUX	5	aux
5	despertado	VERB	0	root
6	la	DET	7	det
7	ira	NOUN	5	obj
8	de	ADP	10	case
9	los	DET	10	det
10	polacos	NOUN	7	nmod
11	más	ADV	12	advmod
12	identificados	ADJ	10	amod
13	con	ADP	15	case
14	el	DET	15	det
15	papa	NOUN	12	obl
16	Wojtyla	PROPN	15	appos
17	y	CCONJ	19	cc
18	ha	AUX	19	aux
19	causado	VERB	5	conj
20	malestar	NOUN	19	obj
21	y	CCONJ	22	cc
22	desagrado	NOUN	20	conj
23	incluso	ADV	19	advmod
24	entre	ADP	23	case
25	los	DET	26	det
26	partidarios	NOUN	23	nmod
27	y	CCONJ	28	cc
28	simpatizantes	NOUN	26	conj
29	de	ADP	30	case
30	Kwasniewski	PROPN	26	nmod
31	.	PUNCT	5	punct