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:
El técnico del Famadesa Málaga Costa del Sol, Diego Carrasco, conoce perfectamente al rival de su equipo, y aseguró que en su campo "son muy complicadas".
Postion	Tokenization
1	El
2	técnico
3	del
4	Famadesa
5	Málaga
6	Costa
7	del
8	Sol
9	,
10	Diego
11	Carrasco
12	,
13	conoce
14	perfectamente
15	al
16	rival
17	de
18	su
19	equipo
20	,
21	y
22	aseguró
23	que
24	en
25	su
26	campo
27	"
28	son
29	muy
30	complicadas
31	"
32	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	técnico	NOUN	13	nsubj
3	del	ADP	4	case
4	Famadesa	PROPN	2	nmod
5	Málaga	PROPN	4	flat
6	Costa	PROPN	4	flat
7	del	ADP	8	case
8	Sol	PROPN	4	flat
9	,	PUNCT	10	punct
10	Diego	PROPN	2	appos
11	Carrasco	PROPN	10	flat
12	,	PUNCT	10	punct
13	conoce	VERB	0	root
14	perfectamente	ADV	13	advmod
15	al	ADP	16	case
16	rival	NOUN	13	obj
17	de	ADP	19	case
18	su	DET	19	det
19	equipo	NOUN	16	nmod
20	,	PUNCT	22	punct
21	y	CCONJ	22	cc
22	aseguró	VERB	13	conj
23	que	SCONJ	30	mark
24	en	ADP	26	case
25	su	DET	26	det
26	campo	NOUN	30	obl
27	"	PUNCT	30	punct
28	son	AUX	30	cop
29	muy	ADV	30	advmod
30	complicadas	ADJ	22	ccomp
31	"	PUNCT	30	punct
32	.	PUNCT	13	punct