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 hecho de que ambos jugadores hayan compartido entrenador en la figura de Horacio de la Pena, y el nivel de su último enfrentamiento en Múnich hace cuatro meses hará que "gane quien esté mejor físicamente", comentó el de Buenos Aires.
Postion	Tokenization
1	El
2	hecho
3	de
4	que
5	ambos
6	jugadores
7	hayan
8	compartido
9	entrenador
10	en
11	la
12	figura
13	de
14	Horacio
15	de
16	la
17	Pena
18	,
19	y
20	el
21	nivel
22	de
23	su
24	último
25	enfrentamiento
26	en
27	Múnich
28	hace
29	cuatro
30	meses
31	hará
32	que
33	"
34	gane
35	quien
36	esté
37	mejor
38	físicamente
39	"
40	,
41	comentó
42	el
43	de
44	Buenos
45	Aires
46	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	hecho	NOUN	31	nsubj
3	de	ADP	8	mark
4	que	SCONJ	8	mark
5	ambos	NUM	6	nummod
6	jugadores	NOUN	8	nsubj
7	hayan	AUX	8	aux
8	compartido	VERB	2	acl
9	entrenador	NOUN	8	obj
10	en	ADP	12	case
11	la	DET	12	det
12	figura	NOUN	8	obl
13	de	ADP	14	case
14	Horacio	PROPN	12	nmod
15	de	ADP	17	case
16	la	DET	17	det
17	Pena	PROPN	14	flat
18	,	PUNCT	21	punct
19	y	CCONJ	21	cc
20	el	DET	21	det
21	nivel	NOUN	2	conj
22	de	ADP	25	case
23	su	DET	25	det
24	último	ADJ	25	amod
25	enfrentamiento	NOUN	21	nmod
26	en	ADP	27	case
27	Múnich	PROPN	25	nmod
28	hace	VERB	25	advcl
29	cuatro	NUM	30	nummod
30	meses	NOUN	28	obj
31	hará	VERB	41	ccomp
32	que	SCONJ	34	mark
33	"	PUNCT	34	punct
34	gane	VERB	31	ccomp
35	quien	PRON	37	nsubj
36	esté	AUX	37	cop
37	mejor	ADV	34	csubj
38	físicamente	ADV	37	advmod
39	"	PUNCT	34	punct
40	,	PUNCT	31	punct
41	comentó	VERB	0	root
42	el	DET	41	det
43	de	ADP	42	case
44	Buenos	PROPN	42	nsubj
45	Aires	PROPN	44	flat
46	.	PUNCT	41	punct