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:
Y el de balonmano, Domingo Bárcenas, maestro de entrenadores, aunque con un pobre historial de logros internacionales, detuvo el reloj de su vida en marzo, a los 73 años y después de una grave enfermedad.
Postion	Tokenization
1	Y
2	el
3	de
4	balonmano
5	,
6	Domingo
7	Bárcenas
8	,
9	maestro
10	de
11	entrenadores
12	,
13	aunque
14	con
15	un
16	pobre
17	historial
18	de
19	logros
20	internacionales
21	,
22	detuvo
23	el
24	reloj
25	de
26	su
27	vida
28	en
29	marzo
30	,
31	a
32	los
33	73
34	años
35	y
36	después
37	de
38	una
39	grave
40	enfermedad
41	.
Position	Tokenization	UPOS	Head	Deprel
1	Y	CCONJ	22	advmod
2	el	DET	22	det
3	de	ADP	2	case
4	balonmano	NOUN	2	nsubj
5	,	PUNCT	6	punct
6	Domingo	PROPN	2	nmod
7	Bárcenas	PROPN	6	flat
8	,	PUNCT	6	punct
9	maestro	NOUN	2	nmod
10	de	ADP	11	case
11	entrenadores	NOUN	9	nmod
12	,	PUNCT	17	punct
13	aunque	SCONJ	17	mark
14	con	ADP	17	case
15	un	DET	17	det
16	pobre	ADJ	17	amod
17	historial	NOUN	9	nmod
18	de	ADP	19	case
19	logros	NOUN	17	nmod
20	internacionales	ADJ	19	amod
21	,	PUNCT	17	punct
22	detuvo	VERB	0	root
23	el	DET	24	det
24	reloj	NOUN	22	obj
25	de	ADP	27	case
26	su	DET	27	det
27	vida	NOUN	24	nmod
28	en	ADP	29	case
29	marzo	NOUN	22	obl
30	,	PUNCT	34	punct
31	a	ADP	34	case
32	los	DET	33	det
33	73	NUM	34	nummod
34	años	NOUN	22	obl
35	y	CCONJ	36	cc
36	después	ADV	34	conj
37	de	ADP	40	case
38	una	DET	40	det
39	grave	ADJ	40	amod
40	enfermedad	NOUN	36	obl
41	.	PUNCT	22	punct