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:
"Nosotros tenemos que demostrar que somos mejores que ellos y creo que lo haremos", agregó el técnico, confiado en la mayor experiencia en partidos de máxima tensión que tiene su equipo en Europa.
Postion	Tokenization
1	"
2	Nosotros
3	tenemos
4	que
5	demostrar
6	que
7	somos
8	mejores
9	que
10	ellos
11	y
12	creo
13	que
14	lo
15	haremos
16	"
17	,
18	agregó
19	el
20	técnico
21	,
22	confiado
23	en
24	la
25	mayor
26	experiencia
27	en
28	partidos
29	de
30	máxima
31	tensión
32	que
33	tiene
34	su
35	equipo
36	en
37	Europa
38	.
Position	Tokenization	UPOS	Head	Deprel
1	"	PUNCT	3	punct
2	Nosotros	PRON	5	nsubj
3	tenemos	VERB	18	ccomp
4	que	SCONJ	5	cc
5	demostrar	VERB	3	conj
6	que	SCONJ	8	mark
7	somos	AUX	8	cop
8	mejores	ADJ	5	ccomp
9	que	SCONJ	10	mark
10	ellos	PRON	8	obl
11	y	CCONJ	12	cc
12	creo	VERB	3	conj
13	que	SCONJ	15	mark
14	lo	PRON	15	obj
15	haremos	VERB	12	ccomp
16	"	PUNCT	3	punct
17	,	PUNCT	3	punct
18	agregó	VERB	0	root
19	el	DET	20	det
20	técnico	NOUN	18	nsubj
21	,	PUNCT	22	punct
22	confiado	ADJ	20	amod
23	en	ADP	26	case
24	la	DET	26	det
25	mayor	ADJ	26	amod
26	experiencia	NOUN	22	obj
27	en	ADP	28	case
28	partidos	NOUN	26	nmod
29	de	ADP	31	case
30	máxima	ADJ	31	amod
31	tensión	NOUN	28	nmod
32	que	PRON	33	obj
33	tiene	VERB	26	acl
34	su	DET	35	det
35	equipo	NOUN	33	nsubj
36	en	ADP	37	case
37	Europa	PROPN	33	obl
38	.	PUNCT	18	punct