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:
Con él, y un brillante grupo de jugadores, España se alzó con la medalla de plata en los Juegos de Los Angeles'84, obviamente por detrás del país anfitrión.
Postion	Tokenization
1	Con
2	él
3	,
4	y
5	un
6	brillante
7	grupo
8	de
9	jugadores
10	,
11	España
12	se
13	alzó
14	con
15	la
16	medalla
17	de
18	plata
19	en
20	los
21	Juegos
22	de
23	Los
24	Angeles'84
25	,
26	obviamente
27	por
28	detrás
29	del
30	país
31	anfitrión
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Con	ADP	2	case
2	él	PRON	13	obl
3	,	PUNCT	7	punct
4	y	CCONJ	7	cc
5	un	DET	7	det
6	brillante	ADJ	7	amod
7	grupo	NOUN	2	conj
8	de	ADP	9	case
9	jugadores	NOUN	7	nmod
10	,	PUNCT	2	punct
11	España	PROPN	13	nsubj
12	se	PRON	13	expl:pv
13	alzó	VERB	0	root
14	con	ADP	16	case
15	la	DET	16	det
16	medalla	NOUN	13	obl
17	de	ADP	18	case
18	plata	NOUN	16	nmod
19	en	ADP	21	case
20	los	DET	21	det
21	Juegos	PROPN	13	obl
22	de	ADP	24	case
23	Los	DET	24	det
24	Angeles'84	PROPN	21	flat
25	,	PUNCT	26	punct
26	obviamente	ADV	13	advmod
27	por	ADP	26	case
28	detrás	ADV	30	case
29	del	ADP	28	fixed
30	país	NOUN	26	nmod
31	anfitrión	NOUN	30	nmod
32	.	PUNCT	13	punct