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:
Por contra, en la segunda sesión de entrenamientos, para la parrilla de la segunda carrera, que se disputará en domingo, la pista estaba ya seca y la situación varió sustancialmente, siendo los españoles Antonio García y Angel Burgueño los que coparon la primera fila, por delante del portugués Aguas y del italiano Burlotti.
Postion	Tokenization
1	Por
2	contra
3	,
4	en
5	la
6	segunda
7	sesión
8	de
9	entrenamientos
10	,
11	para
12	la
13	parrilla
14	de
15	la
16	segunda
17	carrera
18	,
19	que
20	se
21	disputará
22	en
23	domingo
24	,
25	la
26	pista
27	estaba
28	ya
29	seca
30	y
31	la
32	situación
33	varió
34	sustancialmente
35	,
36	siendo
37	los
38	españoles
39	Antonio
40	García
41	y
42	Angel
43	Burgueño
44	los
45	que
46	coparon
47	la
48	primera
49	fila
50	,
51	por
52	delante
53	del
54	portugués
55	Aguas
56	y
57	del
58	italiano
59	Burlotti
60	.
Position	Tokenization	UPOS	Head	Deprel
1	Por	ADP	29	advmod
2	contra	NOUN	1	fixed
3	,	PUNCT	1	punct
4	en	ADP	7	case
5	la	DET	7	det
6	segunda	ADJ	7	amod
7	sesión	NOUN	29	obl
8	de	ADP	9	case
9	entrenamientos	NOUN	7	nmod
10	,	PUNCT	13	punct
11	para	ADP	13	case
12	la	DET	13	det
13	parrilla	NOUN	29	obl
14	de	ADP	17	case
15	la	DET	17	det
16	segunda	ADJ	17	amod
17	carrera	NOUN	13	nmod
18	,	PUNCT	21	punct
19	que	PRON	21	nsubj
20	se	PRON	21	expl:pass
21	disputará	VERB	17	acl
22	en	ADP	23	case
23	domingo	NOUN	21	obl
24	,	PUNCT	21	punct
25	la	DET	26	det
26	pista	NOUN	29	nsubj
27	estaba	AUX	29	cop
28	ya	ADV	29	advmod
29	seca	ADJ	0	root
30	y	CCONJ	33	cc
31	la	DET	32	det
32	situación	NOUN	33	nsubj
33	varió	VERB	29	conj
34	sustancialmente	ADV	33	advmod
35	,	PUNCT	36	punct
36	siendo	AUX	33	advcl
37	los	DET	38	det
38	españoles	NOUN	36	obj
39	Antonio	PROPN	38	appos
40	García	PROPN	39	flat
41	y	CCONJ	42	cc
42	Angel	PROPN	39	conj
43	Burgueño	PROPN	42	flat
44	los	DET	45	det
45	que	PRON	46	nsubj
46	coparon	VERB	38	acl
47	la	DET	49	det
48	primera	ADJ	49	amod
49	fila	NOUN	46	obj
50	,	PUNCT	55	punct
51	por	ADP	55	case
52	delante	ADV	51	fixed
53	del	ADP	51	fixed
54	portugués	ADJ	55	amod
55	Aguas	PROPN	46	obl
56	y	CCONJ	59	cc
57	del	ADP	59	case
58	italiano	ADJ	59	amod
59	Burlotti	PROPN	55	conj
60	.	PUNCT	29	punct