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:
John Halama (10-5) se llevó el triunfo después de lanzar seis entradas y un tercio, ceder nueve hits, incluidos tres jonrones, cuatro carreras, no dio boletos gratis y sacó tres ponches.
Postion	Tokenization
1	John
2	Halama
3	(
4	10-5
5	)
6	se
7	llevó
8	el
9	triunfo
10	después
11	de
12	lanzar
13	seis
14	entradas
15	y
16	un
17	tercio
18	,
19	ceder
20	nueve
21	hits
22	,
23	incluidos
24	tres
25	jonrones
26	,
27	cuatro
28	carreras
29	,
30	no
31	dio
32	boletos
33	gratis
34	y
35	sacó
36	tres
37	ponches
38	.
Position	Tokenization	UPOS	Head	Deprel
1	John	PROPN	7	nsubj
2	Halama	PROPN	1	flat
3	(	PUNCT	4	punct
4	10-5	NUM	1	appos
5	)	PUNCT	4	punct
6	se	PRON	7	iobj
7	llevó	VERB	0	root
8	el	DET	9	det
9	triunfo	NOUN	7	obj
10	después	ADV	7	advmod
11	de	ADP	12	mark
12	lanzar	VERB	10	advcl
13	seis	NUM	14	nummod
14	entradas	NOUN	12	obj
15	y	CCONJ	17	cc
16	un	DET	17	det
17	tercio	NOUN	14	conj
18	,	PUNCT	12	punct
19	ceder	VERB	12	advcl
20	nueve	NUM	21	nummod
21	hits	NOUN	19	obj
22	,	PUNCT	19	punct
23	incluidos	VERB	19	xcomp
24	tres	NUM	25	nummod
25	jonrones	NOUN	19	nsubj
26	,	PUNCT	28	punct
27	cuatro	NUM	28	nummod
28	carreras	NOUN	23	obj
29	,	PUNCT	31	punct
30	no	ADV	31	advmod
31	dio	VERB	7	advcl
32	boletos	NOUN	31	obj
33	gratis	ADV	31	advmod
34	y	CCONJ	35	cc
35	sacó	VERB	7	conj
36	tres	NUM	37	nummod
37	ponches	NOUN	35	obj
38	.	PUNCT	7	punct