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:
"Aquellos que no cumplan esta normativa serán juzgados e incluso podrían sufrir un castigo penal", según la regulación aprobada por el primer ministro Zhu Rongji, que entrará en vigor el primero de diciembre.
Postion	Tokenization
1	"
2	Aquellos
3	que
4	no
5	cumplan
6	esta
7	normativa
8	serán
9	juzgados
10	e
11	incluso
12	podrían
13	sufrir
14	un
15	castigo
16	penal
17	"
18	,
19	según
20	la
21	regulación
22	aprobada
23	por
24	el
25	primer
26	ministro
27	Zhu
28	Rongji
29	,
30	que
31	entrará
32	en
33	vigor
34	el
35	primero
36	de
37	diciembre
38	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	9	punct
2	Aquellos	PRON	9	nsubj
3	que	PRON	5	nsubj
4	no	ADV	5	advmod
5	cumplan	VERB	2	acl
6	esta	DET	7	det
7	normativa	NOUN	5	obj
8	serán	AUX	9	aux
9	juzgados	VERB	0	root
10	e	CCONJ	13	cc
11	incluso	ADV	13	advmod
12	podrían	AUX	13	aux
13	sufrir	VERB	9	conj
14	un	DET	15	det
15	castigo	NOUN	13	obj
16	penal	ADJ	15	amod
17	"	PUNCT	13	punct
18	,	PUNCT	21	punct
19	según	ADP	21	case
20	la	DET	21	det
21	regulación	NOUN	9	obl
22	aprobada	ADJ	21	amod
23	por	ADP	26	case
24	el	DET	26	det
25	primer	ADJ	26	amod
26	ministro	NOUN	22	obj
27	Zhu	PROPN	26	appos
28	Rongji	PROPN	27	flat
29	,	PUNCT	31	punct
30	que	PRON	31	nsubj
31	entrará	VERB	21	acl
32	en	ADP	33	case
33	vigor	NOUN	31	obl
34	el	DET	35	det
35	primero	ADJ	31	obl
36	de	ADP	37	case
37	diciembre	NOUN	35	nmod
38	.	PUNCT	9	punct