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:
Aún así Reynolds jugó siete partidos como abridor en los que su picheo no fue efectivo para dejar su marca en 6-3 con un promedio de 3,31 de efectividad en el montículo.
Postion	Tokenization
1	Aún
2	así
3	Reynolds
4	jugó
5	siete
6	partidos
7	como
8	abridor
9	en
10	los
11	que
12	su
13	picheo
14	no
15	fue
16	efectivo
17	para
18	dejar
19	su
20	marca
21	en
22	6-3
23	con
24	un
25	promedio
26	de
27	3,31
28	de
29	efectividad
30	en
31	el
32	montículo
33	.
Position	Tokenization	UPOS	Head	Deprel
1	Aún	NOUN	4	advmod
2	así	ADV	1	fixed
3	Reynolds	PROPN	4	nsubj
4	jugó	VERB	0	root
5	siete	NUM	6	nummod
6	partidos	NOUN	4	obj
7	como	SCONJ	8	mark
8	abridor	NOUN	6	nmod
9	en	ADP	11	case
10	los	DET	11	det
11	que	PRON	16	obl
12	su	DET	13	det
13	picheo	NOUN	16	nsubj
14	no	ADV	16	advmod
15	fue	AUX	16	cop
16	efectivo	ADJ	6	acl
17	para	ADP	18	mark
18	dejar	VERB	4	advcl
19	su	DET	20	det
20	marca	NOUN	18	obj
21	en	ADP	22	case
22	6-3	NUM	18	obj
23	con	ADP	25	case
24	un	DET	25	det
25	promedio	NOUN	18	obl
26	de	ADP	27	case
27	3,31	NUM	25	nummod
28	de	ADP	29	case
29	efectividad	NOUN	27	nmod
30	en	ADP	32	case
31	el	DET	32	det
32	montículo	NOUN	29	nmod
33	.	PUNCT	4	punct