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:
La intención del Gobierno sudafricano de crear igualdad de oportunidades laborales y erradicar los abusos del pasado racista ha llevado a elaborar y aplicar nuevas leyes, pero de manera tan acelerada que han producido efectos contrarios a los que se pretendía.
Postion	Tokenization
1	La
2	intención
3	del
4	Gobierno
5	sudafricano
6	de
7	crear
8	igualdad
9	de
10	oportunidades
11	laborales
12	y
13	erradicar
14	los
15	abusos
16	del
17	pasado
18	racista
19	ha
20	llevado
21	a
22	elaborar
23	y
24	aplicar
25	nuevas
26	leyes
27	,
28	pero
29	de
30	manera
31	tan
32	acelerada
33	que
34	han
35	producido
36	efectos
37	contrarios
38	a
39	los
40	que
41	se
42	pretendía
43	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	intención	NOUN	20	nsubj
3	del	ADP	4	case
4	Gobierno	PROPN	2	nmod
5	sudafricano	ADJ	4	amod
6	de	ADP	7	mark
7	crear	VERB	2	acl
8	igualdad	NOUN	7	obj
9	de	ADP	10	case
10	oportunidades	NOUN	8	nmod
11	laborales	ADJ	10	amod
12	y	CCONJ	13	cc
13	erradicar	VERB	7	conj
14	los	DET	15	det
15	abusos	NOUN	13	obj
16	del	ADP	17	case
17	pasado	NOUN	15	nmod
18	racista	ADJ	17	amod
19	ha	AUX	20	aux
20	llevado	VERB	0	root
21	a	ADP	22	mark
22	elaborar	VERB	20	xcomp
23	y	CCONJ	24	cc
24	aplicar	VERB	22	conj
25	nuevas	ADJ	26	amod
26	leyes	NOUN	22	obj
27	,	PUNCT	30	punct
28	pero	CCONJ	30	cc
29	de	ADP	30	case
30	manera	NOUN	20	conj
31	tan	ADV	32	advmod
32	acelerada	ADJ	30	amod
33	que	SCONJ	35	mark
34	han	AUX	35	aux
35	producido	VERB	32	advcl
36	efectos	NOUN	35	obj
37	contrarios	ADJ	36	amod
38	a	ADP	42	mark
39	los	DET	42	det
40	que	PRON	42	nsubj
41	se	PRON	42	expl:impers
42	pretendía	VERB	37	acl
43	.	PUNCT	20	punct