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:
Irureta precisó, respecto a Tristán, que lo que tendrán que hacer nuestros centrales es estar "atentos" y recalcó que él nunca ordena "marcajes al hombre".
Postion	Tokenization
1	Irureta
2	precisó
3	,
4	respecto
5	a
6	Tristán
7	,
8	que
9	lo
10	que
11	tendrán
12	que
13	hacer
14	nuestros
15	centrales
16	es
17	estar
18	"
19	atentos
20	"
21	y
22	recalcó
23	que
24	él
25	nunca
26	ordena
27	"
28	marcajes
29	al
30	hombre
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	Irureta	PROPN	2	nsubj
2	precisó	VERB	0	root
3	,	PUNCT	6	punct
4	respecto	NOUN	6	case
5	a	ADP	4	fixed
6	Tristán	PROPN	2	obl
7	,	PUNCT	6	punct
8	que	SCONJ	16	mark
9	lo	PRON	13	det
10	que	PRON	13	obj
11	tendrán	VERB	16	csubj
12	que	SCONJ	13	cc
13	hacer	VERB	11	conj
14	nuestros	DET	15	det
15	centrales	ADJ	13	nsubj
16	es	AUX	2	ccomp
17	estar	AUX	19	cop
18	"	PUNCT	19	punct
19	atentos	ADJ	16	ccomp
20	"	PUNCT	19	punct
21	y	CCONJ	22	cc
22	recalcó	VERB	2	conj
23	que	SCONJ	26	mark
24	él	PRON	26	nsubj
25	nunca	ADV	26	advmod
26	ordena	VERB	22	ccomp
27	"	PUNCT	28	punct
28	marcajes	NOUN	26	obj
29	al	ADP	30	case
30	hombre	NOUN	28	nmod
31	"	PUNCT	28	punct
32	.	PUNCT	2	punct