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:
Copeland, un ingeniero de 24 años, había admitido ser el autor de los atentados, pero intentó conseguir una rebaja en la pena alegando un ataque de paranoia y esquizofrenia.
Postion	Tokenization
1	Copeland
2	,
3	un
4	ingeniero
5	de
6	24
7	años
8	,
9	había
10	admitido
11	ser
12	el
13	autor
14	de
15	los
16	atentados
17	,
18	pero
19	intentó
20	conseguir
21	una
22	rebaja
23	en
24	la
25	pena
26	alegando
27	un
28	ataque
29	de
30	paranoia
31	y
32	esquizofrenia
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Copeland	PROPN	10	nsubj
2	,	PUNCT	4	punct
3	un	DET	4	det
4	ingeniero	NOUN	1	appos
5	de	ADP	7	case
6	24	NUM	7	nummod
7	años	NOUN	4	nmod
8	,	PUNCT	4	punct
9	había	AUX	10	aux
10	admitido	VERB	0	root
11	ser	AUX	13	cop
12	el	DET	13	det
13	autor	NOUN	10	xcomp
14	de	ADP	16	case
15	los	DET	16	det
16	atentados	NOUN	13	nmod
17	,	PUNCT	19	punct
18	pero	CCONJ	19	cc
19	intentó	VERB	10	conj
20	conseguir	VERB	19	ccomp
21	una	DET	22	det
22	rebaja	NOUN	20	obj
23	en	ADP	25	case
24	la	DET	25	det
25	pena	NOUN	22	nmod
26	alegando	VERB	20	xcomp
27	un	DET	28	det
28	ataque	NOUN	26	obj
29	de	ADP	30	case
30	paranoia	NOUN	28	nmod
31	y	CCONJ	32	cc
32	esquizofrenia	NOUN	30	conj
33	.	PUNCT	10	punct