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:
Quien infrinja la ley, dice el texto norteamericano, podrá ser condenado a 10 años de prisión y a una multa de al menos un millón de dólares, cerca de 200 millones de pesetas.
Postion	Tokenization
1	Quien
2	infrinja
3	la
4	ley
5	,
6	dice
7	el
8	texto
9	norteamericano
10	,
11	podrá
12	ser
13	condenado
14	a
15	10
16	años
17	de
18	prisión
19	y
20	a
21	una
22	multa
23	de
24	al
25	menos
26	un
27	millón
28	de
29	dólares
30	,
31	cerca
32	de
33	200
34	millones
35	de
36	pesetas
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Quien	PRON	2	nsubj
2	infrinja	VERB	13	csubj
3	la	DET	4	det
4	ley	NOUN	2	obj
5	,	PUNCT	6	punct
6	dice	VERB	13	parataxis
7	el	DET	8	det
8	texto	NOUN	6	nsubj
9	norteamericano	ADJ	8	amod
10	,	PUNCT	6	punct
11	podrá	AUX	13	aux
12	ser	AUX	13	aux
13	condenado	VERB	0	root
14	a	ADP	16	case
15	10	NUM	16	nummod
16	años	NOUN	13	obj
17	de	ADP	18	case
18	prisión	NOUN	16	nmod
19	y	CCONJ	22	cc
20	a	ADP	22	case
21	una	DET	22	det
22	multa	NOUN	16	conj
23	de	ADP	27	case
24	al	ADP	27	advmod
25	menos	ADV	24	fixed
26	un	DET	27	det
27	millón	NOUN	22	nmod
28	de	ADP	29	case
29	dólares	NOUN	27	nmod
30	,	PUNCT	34	punct
31	cerca	ADV	34	advmod
32	de	ADP	31	case
33	200	NUM	31	nummod
34	millones	NOUN	27	appos
35	de	ADP	36	case
36	pesetas	NOUN	34	nmod
37	.	PUNCT	13	punct