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:
Pero lo que desea Steinbrenner no son suposiciones sino que los técnicos del equipo, que es el que tiene la plantilla más cara con cerca de 100 millones de dólares de presupuesto, le expliquen cómo han podido sólo ganar cinco partidos en la pretemporada.
Postion	Tokenization
1	Pero
2	lo
3	que
4	desea
5	Steinbrenner
6	no
7	son
8	suposiciones
9	sino
10	que
11	los
12	técnicos
13	del
14	equipo
15	,
16	que
17	es
18	el
19	que
20	tiene
21	la
22	plantilla
23	más
24	cara
25	con
26	cerca
27	de
28	100
29	millones
30	de
31	dólares
32	de
33	presupuesto
34	,
35	le
36	expliquen
37	cómo
38	han
39	podido
40	sólo
41	ganar
42	cinco
43	partidos
44	en
45	la
46	pretemporada
47	.
Position	Tokenization	UPOS	Head	Deprel
1	Pero	CCONJ	9	cc
2	lo	PRON	4	det
3	que	PRON	4	obj
4	desea	VERB	8	csubj
5	Steinbrenner	PROPN	4	nsubj
6	no	ADV	8	advmod
7	son	AUX	8	cop
8	suposiciones	NOUN	9	parataxis
9	sino	CCONJ	0	root
10	que	SCONJ	9	fixed
11	los	DET	12	det
12	técnicos	NOUN	36	nsubj
13	del	ADP	14	case
14	equipo	NOUN	12	nmod
15	,	PUNCT	17	punct
16	que	PRON	17	nsubj
17	es	AUX	14	acl
18	el	DET	20	det
19	que	PRON	20	nsubj
20	tiene	VERB	17	ccomp
21	la	DET	22	det
22	plantilla	NOUN	20	obj
23	más	ADV	24	advmod
24	cara	NOUN	22	appos
25	con	ADP	29	case
26	cerca	ADV	29	advmod
27	de	ADP	26	case
28	100	NUM	26	nummod
29	millones	NOUN	22	nmod
30	de	ADP	31	case
31	dólares	NOUN	29	nmod
32	de	ADP	33	case
33	presupuesto	NOUN	29	nmod
34	,	PUNCT	17	punct
35	le	PRON	36	iobj
36	expliquen	VERB	9	parataxis
37	cómo	PRON	41	obl
38	han	AUX	41	aux
39	podido	AUX	41	aux
40	sólo	ADV	41	advmod
41	ganar	VERB	36	xcomp
42	cinco	NUM	43	nummod
43	partidos	NOUN	41	obj
44	en	ADP	46	case
45	la	DET	46	det
46	pretemporada	NOUN	41	obl
47	.	PUNCT	9	punct