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 abridor perdedor fue Neagle (2-2), que trabajó cinco entradas y dos tercios para permitir 10 imparables y siete carreras limpias, dio dos bases por bolas y recetó tres chocolates.
Postion	Tokenization
1	El
2	abridor
3	perdedor
4	fue
5	Neagle
6	(
7	2-2
8	)
9	,
10	que
11	trabajó
12	cinco
13	entradas
14	y
15	dos
16	tercios
17	para
18	permitir
19	10
20	imparables
21	y
22	siete
23	carreras
24	limpias
25	,
26	dio
27	dos
28	bases
29	por
30	bolas
31	y
32	recetó
33	tres
34	chocolates
35	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	abridor	NOUN	5	nsubj
3	perdedor	ADJ	2	amod
4	fue	AUX	5	cop
5	Neagle	PROPN	0	root
6	(	PUNCT	7	punct
7	2-2	NUM	5	appos
8	)	PUNCT	7	punct
9	,	PUNCT	11	punct
10	que	PRON	11	nsubj
11	trabajó	VERB	5	acl
12	cinco	NUM	13	nummod
13	entradas	NOUN	11	obj
14	y	CCONJ	16	cc
15	dos	NUM	16	nummod
16	tercios	NOUN	13	conj
17	para	ADP	18	mark
18	permitir	VERB	11	advcl
19	10	NUM	20	nummod
20	imparables	ADJ	18	obj
21	y	CCONJ	23	cc
22	siete	NUM	23	nummod
23	carreras	NOUN	20	conj
24	limpias	ADJ	23	amod
25	,	PUNCT	26	punct
26	dio	VERB	11	advcl
27	dos	NUM	28	nummod
28	bases	NOUN	26	obj
29	por	ADP	30	case
30	bolas	NOUN	26	obl
31	y	CCONJ	32	cc
32	recetó	VERB	11	conj
33	tres	NUM	34	nummod
34	chocolates	NOUN	32	obj
35	.	PUNCT	5	punct