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:
La marcha de Djordjevic al conjunto madridista, después de tres temporadas como azulgrana, sería una repetición del caso Laudrup que se vivió en el fútbol en la temporada 93/94.
Postion	Tokenization
1	La
2	marcha
3	de
4	Djordjevic
5	al
6	conjunto
7	madridista
8	,
9	después
10	de
11	tres
12	temporadas
13	como
14	azulgrana
15	,
16	sería
17	una
18	repetición
19	del
20	caso
21	Laudrup
22	que
23	se
24	vivió
25	en
26	el
27	fútbol
28	en
29	la
30	temporada
31	93/94
32	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	marcha	NOUN	18	nsubj
3	de	ADP	4	case
4	Djordjevic	PROPN	2	nmod
5	al	ADP	6	case
6	conjunto	NOUN	2	nmod
7	madridista	ADJ	6	amod
8	,	PUNCT	9	punct
9	después	ADV	2	advmod
10	de	ADP	12	case
11	tres	NUM	12	nummod
12	temporadas	NOUN	9	obl
13	como	SCONJ	14	mark
14	azulgrana	NOUN	12	nmod
15	,	PUNCT	9	punct
16	sería	AUX	18	cop
17	una	DET	18	det
18	repetición	NOUN	0	root
19	del	ADP	20	case
20	caso	NOUN	18	nmod
21	Laudrup	PROPN	20	appos
22	que	PRON	24	obj
23	se	PRON	24	expl:pass
24	vivió	VERB	20	acl
25	en	ADP	27	case
26	el	DET	27	det
27	fútbol	NOUN	24	obl
28	en	ADP	30	case
29	la	DET	30	det
30	temporada	NOUN	24	obl
31	93/94	NUM	30	nummod
32	.	PUNCT	18	punct