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:
"Tengo cosas que agradecerles a estos dos entrenadores y la responsabilidad de hacerlo bien los próximos meses para que lo vean", señala, aunque esa "responsabilidad" de agradar a los dos entrenadores tiene un componente diferente.
Postion	Tokenization
1	"
2	Tengo
3	cosas
4	que
5	agradecerles
6	agradecer
7	les
8	a
9	estos
10	dos
11	entrenadores
12	y
13	la
14	responsabilidad
15	de
16	hacerlo
17	hacer
18	lo
19	bien
20	los
21	próximos
22	meses
23	para
24	que
25	lo
26	vean
27	"
28	,
29	señala
30	,
31	aunque
32	esa
33	"
34	responsabilidad
35	"
36	de
37	agradar
38	a
39	los
40	dos
41	entrenadores
42	tiene
43	un
44	componente
45	diferente
46	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	2	punct
2	Tengo	VERB	27	ccomp
3	cosas	NOUN	2	obj
4	que	PRON	5	obj
5	agradecerles	_	None	_
6	agradecer	VERB	3	acl
7	les	PRON	5	obj
8	a	ADP	10	case
9	estos	DET	10	det
10	dos	NUM	8	nummod
11	entrenadores	NOUN	5	obj
12	y	CCONJ	13	cc
13	la	DET	13	det
14	responsabilidad	NOUN	3	conj
15	de	ADP	15	mark
16	hacerlo	_	None	_
17	hacer	VERB	13	acl
18	lo	PRON	15	obj
19	bien	ADV	15	advmod
20	los	DET	20	det
21	próximos	ADJ	20	amod
22	meses	NOUN	15	obl
23	para	ADP	24	mark
24	que	SCONJ	24	mark
25	lo	PRON	24	obj
26	vean	VERB	15	advcl
27	"	PUNCT	2	punct
28	,	PUNCT	2	punct
29	señala	VERB	0	root
30	,	PUNCT	40	punct
31	aunque	SCONJ	40	mark
32	esa	DET	32	det
33	"	PUNCT	32	punct
34	responsabilidad	NOUN	40	nsubj
35	"	PUNCT	32	punct
36	de	ADP	35	mark
37	agradar	VERB	32	acl
38	a	ADP	39	case
39	los	DET	39	det
40	dos	NUM	37	nummod
41	entrenadores	NOUN	35	obj
42	tiene	VERB	27	advcl
43	un	DET	42	det
44	componente	NOUN	40	obj
45	diferente	ADJ	42	amod
46	.	PUNCT	27	punct