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 lanzador titular de los Cerveceros, el puertorriqueño, Jaime Navarro (0-5), fue castigado con seis imparables, tres que salieron del parque, y seis carreras - - cinco limpias - - otorgó tres pasaportes y abanicó a uno en sólo dos entradas y un tercio para cargar con la derrota.
Postion	Tokenization
1	El
2	lanzador
3	titular
4	de
5	los
6	Cerveceros
7	,
8	el
9	puertorriqueño
10	,
11	Jaime
12	Navarro
13	(
14	0-5
15	)
16	,
17	fue
18	castigado
19	con
20	seis
21	imparables
22	,
23	tres
24	que
25	salieron
26	del
27	parque
28	,
29	y
30	seis
31	carreras
32	-
33	-
34	cinco
35	limpias
36	-
37	-
38	otorgó
39	tres
40	pasaportes
41	y
42	abanicó
43	a
44	uno
45	en
46	sólo
47	dos
48	entradas
49	y
50	un
51	tercio
52	para
53	cargar
54	con
55	la
56	derrota
57	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	lanzador	NOUN	18	nsubj
3	titular	ADJ	2	amod
4	de	ADP	6	case
5	los	DET	6	det
6	Cerveceros	PROPN	2	nmod
7	,	PUNCT	9	punct
8	el	DET	9	det
9	puertorriqueño	NOUN	2	appos
10	,	PUNCT	11	punct
11	Jaime	PROPN	9	appos
12	Navarro	PROPN	11	flat
13	(	PUNCT	14	punct
14	0-5	NUM	11	appos
15	)	PUNCT	14	punct
16	,	PUNCT	9	punct
17	fue	AUX	18	aux
18	castigado	VERB	0	root
19	con	ADP	21	case
20	seis	NUM	21	nummod
21	imparables	ADJ	18	advmod
22	,	PUNCT	23	punct
23	tres	NUM	21	obj
24	que	PRON	25	nsubj
25	salieron	VERB	23	advcl
26	del	ADP	27	case
27	parque	NOUN	25	obl
28	,	PUNCT	31	punct
29	y	CCONJ	31	cc
30	seis	NUM	31	nummod
31	carreras	NOUN	23	conj
32	-	PUNCT	35	punct
33	-	PUNCT	35	punct
34	cinco	NUM	35	nummod
35	limpias	NOUN	31	appos
36	-	PUNCT	35	punct
37	-	PUNCT	35	punct
38	otorgó	VERB	18	advcl
39	tres	NUM	40	nummod
40	pasaportes	NOUN	38	obj
41	y	CCONJ	42	cc
42	abanicó	VERB	18	conj
43	a	ADP	44	case
44	uno	PRON	42	obj
45	en	ADP	48	case
46	sólo	ADV	48	advmod
47	dos	NUM	48	nummod
48	entradas	NOUN	42	obl
49	y	CCONJ	51	cc
50	un	DET	51	det
51	tercio	NOUN	48	conj
52	para	ADP	53	mark
53	cargar	VERB	42	advcl
54	con	ADP	56	case
55	la	DET	56	det
56	derrota	NOUN	53	obj
57	.	PUNCT	18	punct