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:
A principios del 2002, cuando entre en vigor la nueva ley de tráfico, el SCT utilizará cinco cámaras fotográficas fijas que se encargarán de cazar a los automovilistas y motoristas que sobrepasen los límites de velocidad.
Postion	Tokenization
1	A
2	principios
3	del
4	2002
5	,
6	cuando
7	entre
8	en
9	vigor
10	la
11	nueva
12	ley
13	de
14	tráfico
15	,
16	el
17	SCT
18	utilizará
19	cinco
20	cámaras
21	fotográficas
22	fijas
23	que
24	se
25	encargarán
26	de
27	cazar
28	a
29	los
30	automovilistas
31	y
32	motoristas
33	que
34	sobrepasen
35	los
36	límites
37	de
38	velocidad
39	.
Position	Tokenization	UPOS	Head	Deprel
1	A	ADP	4	case
2	principios	NOUN	1	fixed
3	del	ADP	1	fixed
4	2002	NOUN	18	obl
5	,	PUNCT	7	punct
6	cuando	PRON	7	obl
7	entre	VERB	4	acl
8	en	ADP	9	case
9	vigor	NOUN	7	obl
10	la	DET	12	det
11	nueva	ADJ	12	amod
12	ley	NOUN	7	nsubj
13	de	ADP	14	case
14	tráfico	NOUN	12	nmod
15	,	PUNCT	7	punct
16	el	DET	17	det
17	SCT	PROPN	18	nsubj
18	utilizará	VERB	0	root
19	cinco	NUM	20	nummod
20	cámaras	NOUN	18	obj
21	fotográficas	ADJ	20	amod
22	fijas	ADJ	20	amod
23	que	PRON	25	nsubj
24	se	PRON	25	expl:pv
25	encargarán	VERB	20	acl
26	de	ADP	27	mark
27	cazar	VERB	25	xcomp
28	a	ADP	30	case
29	los	DET	30	det
30	automovilistas	NOUN	27	obj
31	y	CCONJ	32	cc
32	motoristas	NOUN	30	conj
33	que	PRON	34	nsubj
34	sobrepasen	VERB	30	acl
35	los	DET	36	det
36	límites	NOUN	34	obj
37	de	ADP	38	case
38	velocidad	NOUN	36	nmod
39	.	PUNCT	18	punct