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 estadounidense Don Budge, el primer jugador de tenis que ganó un torneo de Grand Slam, también abandonó el mundo de los vivos a primeros de año.
Postion	Tokenization
1	El
2	estadounidense
3	Don
4	Budge
5	,
6	el
7	primer
8	jugador
9	de
10	tenis
11	que
12	ganó
13	un
14	torneo
15	de
16	Grand
17	Slam
18	,
19	también
20	abandonó
21	el
22	mundo
23	de
24	los
25	vivos
26	a
27	primeros
28	de
29	año
30	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	estadounidense	NOUN	20	nsubj
3	Don	PROPN	2	appos
4	Budge	PROPN	3	flat
5	,	PUNCT	8	punct
6	el	DET	8	det
7	primer	ADJ	8	amod
8	jugador	NOUN	2	appos
9	de	ADP	10	case
10	tenis	NOUN	8	nmod
11	que	PRON	12	nsubj
12	ganó	VERB	8	acl
13	un	DET	14	det
14	torneo	NOUN	12	obj
15	de	ADP	16	case
16	Grand	PROPN	14	nmod
17	Slam	PROPN	16	flat
18	,	PUNCT	8	punct
19	también	ADV	20	advmod
20	abandonó	VERB	0	root
21	el	DET	22	det
22	mundo	NOUN	20	obj
23	de	ADP	25	case
24	los	DET	25	det
25	vivos	NOUN	22	nmod
26	a	ADP	27	case
27	primeros	ADJ	20	obl
28	de	ADP	29	case
29	año	NOUN	27	nmod
30	.	PUNCT	20	punct