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:
Para el técnico del Deportivo "ganarle mañana aquí sería dar un paso importantísimo", aunque reiteró que el rival "tiene delanteros muy peligrosos".
Postion	Tokenization
1	Para
2	el
3	técnico
4	del
5	Deportivo
6	"
7	ganarle
8	ganar
9	le
10	mañana
11	aquí
12	sería
13	dar
14	un
15	paso
16	importantísimo
17	"
18	,
19	aunque
20	reiteró
21	que
22	el
23	rival
24	"
25	tiene
26	delanteros
27	muy
28	peligrosos
29	"
30	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	3	case
2	el	DET	3	det
3	técnico	NOUN	11	obl
4	del	ADP	5	case
5	Deportivo	PROPN	3	nmod
6	"	PUNCT	11	punct
7	ganarle	_	None	_
8	ganar	VERB	11	csubj
9	le	PRON	7	obj
10	mañana	ADV	7	advmod
11	aquí	ADV	7	advmod
12	sería	AUX	0	root
13	dar	VERB	11	ccomp
14	un	DET	14	det
15	paso	NOUN	12	obj
16	importantísimo	ADJ	14	amod
17	"	PUNCT	11	punct
18	,	PUNCT	19	punct
19	aunque	SCONJ	19	mark
20	reiteró	VERB	11	advcl
21	que	SCONJ	24	mark
22	el	DET	22	det
23	rival	NOUN	24	nsubj
24	"	PUNCT	24	punct
25	tiene	VERB	19	ccomp
26	delanteros	ADJ	27	amod
27	muy	ADV	27	advmod
28	peligrosos	ADJ	24	obj
29	"	PUNCT	24	punct
30	.	PUNCT	11	punct