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:
David Copeland, el nazi que la pasada primavera colocó tres bombas en Londres, fue condenado ayer a seis penas de cadena perpetua.
Postion	Tokenization
1	David
2	Copeland
3	,
4	el
5	nazi
6	que
7	la
8	pasada
9	primavera
10	colocó
11	tres
12	bombas
13	en
14	Londres
15	,
16	fue
17	condenado
18	ayer
19	a
20	seis
21	penas
22	de
23	cadena
24	perpetua
25	.
Position	Tokenization	UPOS	Head	Deprel
1	David	PROPN	17	nsubj
2	Copeland	PROPN	1	flat
3	,	PUNCT	5	punct
4	el	DET	5	det
5	nazi	NOUN	1	appos
6	que	PRON	10	nsubj
7	la	DET	9	det
8	pasada	ADJ	9	amod
9	primavera	NOUN	10	obl
10	colocó	VERB	5	acl
11	tres	NUM	12	nummod
12	bombas	NOUN	10	obj
13	en	ADP	14	case
14	Londres	PROPN	10	obl
15	,	PUNCT	5	punct
16	fue	AUX	17	aux
17	condenado	VERB	0	root
18	ayer	ADV	17	advmod
19	a	ADP	21	case
20	seis	NUM	21	nummod
21	penas	NOUN	17	obj
22	de	ADP	23	case
23	cadena	NOUN	21	nmod
24	perpetua	ADJ	23	amod
25	.	PUNCT	17	punct