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:
Para el Real Madrid, que encajó su sexta derrota de la temporada, supuso el fin de una racha de once jornadas sin perder y el descenso al cuarto peldaño de la tabla.
Postion	Tokenization
1	Para
2	el
3	Real
4	Madrid
5	,
6	que
7	encajó
8	su
9	sexta
10	derrota
11	de
12	la
13	temporada
14	,
15	supuso
16	el
17	fin
18	de
19	una
20	racha
21	de
22	once
23	jornadas
24	sin
25	perder
26	y
27	el
28	descenso
29	al
30	cuarto
31	peldaño
32	de
33	la
34	tabla
35	.
Position	Tokenization	UPOS	Head	Deprel
1	Para	ADP	3	case
2	el	DET	3	det
3	Real	PROPN	15	obl
4	Madrid	PROPN	3	flat
5	,	PUNCT	7	punct
6	que	PRON	7	nsubj
7	encajó	VERB	3	acl
8	su	DET	10	det
9	sexta	ADJ	10	amod
10	derrota	NOUN	7	obj
11	de	ADP	13	case
12	la	DET	13	det
13	temporada	NOUN	10	nmod
14	,	PUNCT	7	punct
15	supuso	VERB	0	root
16	el	DET	17	det
17	fin	NOUN	15	obj
18	de	ADP	20	case
19	una	DET	20	det
20	racha	NOUN	17	nmod
21	de	ADP	23	case
22	once	NUM	23	nummod
23	jornadas	NOUN	20	nmod
24	sin	ADP	25	mark
25	perder	VERB	23	acl
26	y	CCONJ	28	cc
27	el	DET	28	det
28	descenso	NOUN	17	conj
29	al	ADP	31	case
30	cuarto	ADJ	31	amod
31	peldaño	NOUN	28	nmod
32	de	ADP	34	case
33	la	DET	34	det
34	tabla	NOUN	31	nmod
35	.	PUNCT	15	punct