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:
Reynolds ganó su primera invitación para participar en el "Partido de las Estrellas" la campaña anterior, después de obtener una marca de cinco triunfos por cero derrotas en sus primeros diez inicios como abridor.
Postion	Tokenization
1	Reynolds
2	ganó
3	su
4	primera
5	invitación
6	para
7	participar
8	en
9	el
10	"
11	Partido
12	de
13	las
14	Estrellas
15	"
16	la
17	campaña
18	anterior
19	,
20	después
21	de
22	obtener
23	una
24	marca
25	de
26	cinco
27	triunfos
28	por
29	cero
30	derrotas
31	en
32	sus
33	primeros
34	diez
35	inicios
36	como
37	abridor
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Reynolds	PROPN	2	nsubj
2	ganó	VERB	0	root
3	su	DET	5	det
4	primera	ADJ	5	amod
5	invitación	NOUN	2	obj
6	para	ADP	7	mark
7	participar	VERB	5	acl
8	en	ADP	11	case
9	el	DET	11	det
10	"	PUNCT	11	punct
11	Partido	PROPN	7	obj
12	de	ADP	14	case
13	las	DET	14	det
14	Estrellas	PROPN	11	flat
15	"	PUNCT	11	punct
16	la	DET	17	det
17	campaña	NOUN	2	obl
18	anterior	ADJ	17	amod
19	,	PUNCT	20	punct
20	después	ADV	2	advmod
21	de	ADP	22	mark
22	obtener	VERB	20	advcl
23	una	DET	24	det
24	marca	NOUN	22	obj
25	de	ADP	27	case
26	cinco	NUM	27	nummod
27	triunfos	NOUN	24	nmod
28	por	ADP	30	case
29	cero	NUM	30	nummod
30	derrotas	NOUN	27	nmod
31	en	ADP	35	case
32	sus	DET	35	det
33	primeros	ADJ	32	amod
34	diez	NUM	32	nummod
35	inicios	NOUN	22	obl
36	como	SCONJ	37	mark
37	abridor	NOUN	35	nmod
38	.	PUNCT	2	punct