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:
Sobre el rival de mañana en el Santiago Bernabéu, el técnico salmantino mostró su profundo respeto: "es un equipo dotado de grandes jugadores y que tiene un entrenador que habla desde la cordura.
Postion	Tokenization
1	Sobre
2	el
3	rival
4	de
5	mañana
6	en
7	el
8	Santiago
9	Bernabéu
10	,
11	el
12	técnico
13	salmantino
14	mostró
15	su
16	profundo
17	respeto
18	:
19	"
20	es
21	un
22	equipo
23	dotado
24	de
25	grandes
26	jugadores
27	y
28	que
29	tiene
30	un
31	entrenador
32	que
33	habla
34	desde
35	la
36	cordura
37	.
Position	Tokenization	UPOS	Head	Deprel
1	Sobre	ADP	3	case
2	el	DET	3	det
3	rival	NOUN	14	obl
4	de	ADP	5	case
5	mañana	ADV	3	advmod
6	en	ADP	8	case
7	el	DET	8	det
8	Santiago	PROPN	3	nmod
9	Bernabéu	PROPN	8	flat
10	,	PUNCT	3	punct
11	el	DET	12	det
12	técnico	NOUN	14	nsubj
13	salmantino	ADJ	12	amod
14	mostró	VERB	0	root
15	su	DET	17	det
16	profundo	ADJ	17	amod
17	respeto	NOUN	14	obj
18	:	PUNCT	22	punct
19	"	PUNCT	22	punct
20	es	AUX	22	cop
21	un	DET	22	det
22	equipo	NOUN	14	advcl
23	dotado	ADJ	22	amod
24	de	ADP	26	case
25	grandes	ADJ	26	amod
26	jugadores	NOUN	23	obj
27	y	CCONJ	29	cc
28	que	PRON	29	nsubj
29	tiene	VERB	23	conj
30	un	DET	31	det
31	entrenador	NOUN	29	obj
32	que	PRON	33	nsubj
33	habla	VERB	31	acl
34	desde	ADP	36	case
35	la	DET	36	det
36	cordura	NOUN	33	obl
37	.	PUNCT	14	punct