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:
La Policía británica no entiende cómo fue que la información confidencial sobre 11 pederastas haya ido a parar a manos del sindicato de estudiantes de la Universidad de Bristol.
Postion	Tokenization
1	La
2	Policía
3	británica
4	no
5	entiende
6	cómo
7	fue
8	que
9	la
10	información
11	confidencial
12	sobre
13	11
14	pederastas
15	haya
16	ido
17	a
18	parar
19	a
20	manos
21	del
22	sindicato
23	de
24	estudiantes
25	de
26	la
27	Universidad
28	de
29	Bristol
30	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	Policía	PROPN	5	nsubj
3	británica	ADJ	2	amod
4	no	ADV	5	advmod
5	entiende	VERB	0	root
6	cómo	PRON	7	obl
7	fue	AUX	5	ccomp
8	que	SCONJ	16	mark
9	la	DET	10	det
10	información	NOUN	16	nsubj
11	confidencial	ADJ	10	amod
12	sobre	ADP	14	case
13	11	NUM	14	nummod
14	pederastas	NOUN	10	nmod
15	haya	AUX	16	aux
16	ido	VERB	7	csubj
17	a	ADP	18	case
18	parar	NOUN	16	compound
19	a	ADP	22	case
20	manos	NOUN	19	fixed
21	del	ADP	19	fixed
22	sindicato	NOUN	16	obj
23	de	ADP	24	case
24	estudiantes	NOUN	22	nmod
25	de	ADP	27	case
26	la	DET	27	det
27	Universidad	PROPN	22	nmod
28	de	ADP	29	case
29	Bristol	PROPN	27	flat
30	.	PUNCT	5	punct