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:
Los que estaban inhabilitados por 10 años, según el Código Penal anterior a 1998, verán rebajada su pena a cuatro años, con lo que ya la habrán cumplido.
Postion	Tokenization
1	Los
2	que
3	estaban
4	inhabilitados
5	por
6	10
7	años
8	,
9	según
10	el
11	Código
12	Penal
13	anterior
14	a
15	1998
16	,
17	verán
18	rebajada
19	su
20	pena
21	a
22	cuatro
23	años
24	,
25	con
26	lo
27	que
28	ya
29	la
30	habrán
31	cumplido
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Los	DET	4	det
2	que	PRON	4	nsubj
3	estaban	AUX	4	cop
4	inhabilitados	ADJ	17	csubj
5	por	ADP	7	case
6	10	NUM	7	nummod
7	años	NOUN	4	obl
8	,	PUNCT	11	punct
9	según	ADP	11	case
10	el	DET	11	det
11	Código	PROPN	4	obl
12	Penal	PROPN	11	flat
13	anterior	ADJ	11	amod
14	a	ADP	15	case
15	1998	NOUN	13	nmod
16	,	PUNCT	11	punct
17	verán	VERB	0	root
18	rebajada	ADJ	17	obj
19	su	DET	20	det
20	pena	NOUN	17	obj
21	a	ADP	23	case
22	cuatro	NUM	23	nummod
23	años	NOUN	17	obj
24	,	PUNCT	31	punct
25	con	ADP	31	mark
26	lo	PRON	31	det
27	que	PRON	31	obl
28	ya	ADV	31	advmod
29	la	PRON	31	obj
30	habrán	AUX	31	aux
31	cumplido	VERB	17	advcl
32	.	PUNCT	17	punct