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:
Cúper dijo que el objetivo del Valencia "será ganar", pero admitió que el equipo deberá actuar "con inteligencia y algunas precauciones".
Postion	Tokenization
1	Cúper
2	dijo
3	que
4	el
5	objetivo
6	del
7	Valencia
8	"
9	será
10	ganar
11	"
12	,
13	pero
14	admitió
15	que
16	el
17	equipo
18	deberá
19	actuar
20	"
21	con
22	inteligencia
23	y
24	algunas
25	precauciones
26	"
27	.
Position	Tokenization	UPOS	Head	Deprel
1	Cúper	PROPN	2	nsubj
2	dijo	VERB	0	root
3	que	SCONJ	9	mark
4	el	DET	5	det
5	objetivo	NOUN	9	nsubj
6	del	ADP	7	case
7	Valencia	PROPN	5	nmod
8	"	PUNCT	9	punct
9	será	AUX	2	ccomp
10	ganar	VERB	9	ccomp
11	"	PUNCT	9	punct
12	,	PUNCT	9	punct
13	pero	CCONJ	14	cc
14	admitió	VERB	2	conj
15	que	SCONJ	19	mark
16	el	DET	17	det
17	equipo	NOUN	19	nsubj
18	deberá	AUX	19	aux
19	actuar	VERB	14	ccomp
20	"	PUNCT	22	punct
21	con	ADP	22	case
22	inteligencia	NOUN	19	obl
23	y	CCONJ	25	cc
24	algunas	DET	25	det
25	precauciones	NOUN	22	conj
26	"	PUNCT	22	punct
27	.	PUNCT	2	punct