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:
Fullana se situó pronto en los puestos de cabeza de una prueba en la que las competidoras dieron cinco vueltas a un circuito de 6,9 kilómetros - más un bucle llano de salida de 1.200 metros -, situado en la Fairfield City Farm, una granja en la que el ganado vacuno, ovino y porcino alterna con fauna autóctona como canguros, koalas o emús y que está a unos 30 kilómetros del Parque Olímpico de Sydney.
Postion	Tokenization
1	Fullana
2	se
3	situó
4	pronto
5	en
6	los
7	puestos
8	de
9	cabeza
10	de
11	una
12	prueba
13	en
14	la
15	que
16	las
17	competidoras
18	dieron
19	cinco
20	vueltas
21	a
22	un
23	circuito
24	de
25	6,9
26	kilómetros
27	-
28	más
29	un
30	bucle
31	llano
32	de
33	salida
34	de
35	1.200
36	metros
37	-
38	,
39	situado
40	en
41	la
42	Fairfield
43	City
44	Farm
45	,
46	una
47	granja
48	en
49	la
50	que
51	el
52	ganado
53	vacuno
54	,
55	ovino
56	y
57	porcino
58	alterna
59	con
60	fauna
61	autóctona
62	como
63	canguros
64	,
65	koalas
66	o
67	emús
68	y
69	que
70	está
71	a
72	unos
73	30
74	kilómetros
75	del
76	Parque
77	Olímpico
78	de
79	Sydney
80	.
Position	Tokenization	UPOS	Head	Deprel
1	Fullana	PROPN	3	nsubj
2	se	PRON	3	expl:pv
3	situó	VERB	0	root
4	pronto	ADV	3	advmod
5	en	ADP	7	case
6	los	DET	7	det
7	puestos	NOUN	3	obl
8	de	ADP	9	case
9	cabeza	NOUN	7	nmod
10	de	ADP	12	case
11	una	DET	12	det
12	prueba	NOUN	7	nmod
13	en	ADP	15	case
14	la	DET	15	det
15	que	PRON	18	obl
16	las	DET	17	det
17	competidoras	NOUN	18	nsubj
18	dieron	VERB	12	acl
19	cinco	NUM	20	nummod
20	vueltas	NOUN	18	obj
21	a	ADP	23	case
22	un	DET	23	det
23	circuito	NOUN	18	obl
24	de	ADP	26	case
25	6,9	NUM	26	nummod
26	kilómetros	NOUN	23	nmod
27	-	PUNCT	30	punct
28	más	CCONJ	30	cc
29	un	DET	30	det
30	bucle	NOUN	23	conj
31	llano	ADJ	30	amod
32	de	ADP	33	case
33	salida	NOUN	30	nmod
34	de	ADP	36	case
35	1.200	NUM	36	nummod
36	metros	NOUN	33	nmod
37	-	PUNCT	23	punct
38	,	PUNCT	39	punct
39	situado	ADJ	3	advmod
40	en	ADP	42	case
41	la	DET	42	det
42	Fairfield	PROPN	39	obl
43	City	PROPN	42	flat
44	Farm	PROPN	42	flat
45	,	PUNCT	47	punct
46	una	DET	47	det
47	granja	NOUN	42	appos
48	en	ADP	50	case
49	la	DET	50	det
50	que	PRON	58	obl
51	el	DET	52	det
52	ganado	NOUN	58	nsubj
53	vacuno	ADJ	52	amod
54	,	PUNCT	55	punct
55	ovino	ADJ	53	conj
56	y	CCONJ	57	cc
57	porcino	ADJ	53	conj
58	alterna	VERB	47	acl
59	con	ADP	60	case
60	fauna	NOUN	58	obj
61	autóctona	ADJ	60	amod
62	como	SCONJ	63	mark
63	canguros	NOUN	60	nmod
64	,	PUNCT	65	punct
65	koalas	NOUN	63	conj
66	o	CCONJ	67	cc
67	emús	NOUN	63	conj
68	y	CCONJ	70	cc
69	que	PRON	70	nsubj
70	está	VERB	58	conj
71	a	ADP	74	case
72	unos	PRON	73	nmod
73	30	NUM	74	nummod
74	kilómetros	NOUN	70	obl
75	del	ADP	76	case
76	Parque	PROPN	74	nmod
77	Olímpico	PROPN	76	flat
78	de	ADP	79	case
79	Sydney	PROPN	76	nmod
80	.	PUNCT	3	punct