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:
El secretario de Estado de Agricultura británico, Nick Brown, admitió ayer que "habrá que luchar para tener éxito en los mercados y el Gobierno sabe que no será fácil".
Postion	Tokenization
1	El
2	secretario
3	de
4	Estado
5	de
6	Agricultura
7	británico
8	,
9	Nick
10	Brown
11	,
12	admitió
13	ayer
14	que
15	"
16	habrá
17	que
18	luchar
19	para
20	tener
21	éxito
22	en
23	los
24	mercados
25	y
26	el
27	Gobierno
28	sabe
29	que
30	no
31	será
32	fácil
33	"
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	secretario	NOUN	12	nsubj
3	de	ADP	4	case
4	Estado	PROPN	2	nmod
5	de	ADP	6	case
6	Agricultura	PROPN	2	nmod
7	británico	ADJ	2	amod
8	,	PUNCT	9	punct
9	Nick	PROPN	2	appos
10	Brown	PROPN	9	flat
11	,	PUNCT	9	punct
12	admitió	VERB	0	root
13	ayer	ADV	12	advmod
14	que	SCONJ	18	mark
15	"	PUNCT	16	punct
16	habrá	AUX	12	ccomp
17	que	SCONJ	18	cc
18	luchar	VERB	16	conj
19	para	ADP	20	mark
20	tener	VERB	18	advcl
21	éxito	NOUN	20	obj
22	en	ADP	24	case
23	los	DET	24	det
24	mercados	NOUN	20	obl
25	y	CCONJ	28	cc
26	el	DET	27	det
27	Gobierno	PROPN	28	nsubj
28	sabe	VERB	16	conj
29	que	SCONJ	32	mark
30	no	ADV	32	advmod
31	será	AUX	32	cop
32	fácil	ADJ	28	ccomp
33	"	PUNCT	16	punct
34	.	PUNCT	12	punct