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:
De hecho, Steinbrenner, que comenzó hablando todos los días con los periodistas, ahora como es lógico ya no lo hace pero sí ha manifestado a través de los técnicos que está preocupado por el bateo después de que su equipo sólo haya logrado un promedio de .264.
Postion	Tokenization
1	De
2	hecho
3	,
4	Steinbrenner
5	,
6	que
7	comenzó
8	hablando
9	todos
10	los
11	días
12	con
13	los
14	periodistas
15	,
16	ahora
17	como
18	es
19	lógico
20	ya
21	no
22	lo
23	hace
24	pero
25	sí
26	ha
27	manifestado
28	a
29	través
30	de
31	los
32	técnicos
33	que
34	está
35	preocupado
36	por
37	el
38	bateo
39	después
40	de
41	que
42	su
43	equipo
44	sólo
45	haya
46	logrado
47	un
48	promedio
49	de
50	.264
51	.
Position	Tokenization	UPOS	Head	Deprel
1	De	ADP	23	advmod
2	hecho	NOUN	1	fixed
3	,	PUNCT	1	punct
4	Steinbrenner	PROPN	23	nsubj
5	,	PUNCT	7	punct
6	que	PRON	7	nsubj
7	comenzó	VERB	4	acl
8	hablando	VERB	7	xcomp
9	todos	DET	10	det
10	los	DET	11	det
11	días	NOUN	7	obl
12	con	ADP	14	case
13	los	DET	14	det
14	periodistas	NOUN	7	obl
15	,	PUNCT	7	punct
16	ahora	ADV	23	advmod
17	como	SCONJ	19	mark
18	es	AUX	19	cop
19	lógico	ADJ	23	advcl
20	ya	ADV	23	advmod
21	no	ADV	23	advmod
22	lo	PRON	23	obj
23	hace	VERB	0	root
24	pero	CCONJ	27	cc
25	sí	INTJ	27	advcl
26	ha	AUX	27	aux
27	manifestado	VERB	23	conj
28	a	ADP	32	case
29	través	NOUN	28	fixed
30	de	ADP	28	fixed
31	los	DET	32	det
32	técnicos	NOUN	27	obl
33	que	SCONJ	35	mark
34	está	AUX	35	cop
35	preocupado	ADJ	27	ccomp
36	por	ADP	38	case
37	el	DET	38	det
38	bateo	NOUN	35	obj
39	después	ADV	35	advmod
40	de	ADP	46	mark
41	que	SCONJ	46	mark
42	su	DET	43	det
43	equipo	NOUN	46	nsubj
44	sólo	ADV	46	advmod
45	haya	AUX	46	aux
46	logrado	VERB	39	advcl
47	un	DET	48	det
48	promedio	NOUN	46	obj
49	de	ADP	50	case
50	.264	NUM	48	nummod
51	.	PUNCT	23	punct