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 partido ha aplazado la muerte del Madrid y precipitado la del Atleti, que recibe un golpe deportivo económico y psicológico de infinita crueldad.
Postion	Tokenization
1	El
2	partido
3	ha
4	aplazado
5	la
6	muerte
7	del
8	Madrid
9	y
10	precipitado
11	la
12	del
13	Atleti
14	,
15	que
16	recibe
17	un
18	golpe
19	deportivo
20	económico
21	y
22	psicológico
23	de
24	infinita
25	crueldad
26	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	partido	NOUN	4	nsubj
3	ha	AUX	4	aux
4	aplazado	VERB	0	root
5	la	DET	6	det
6	muerte	NOUN	4	obj
7	del	ADP	8	case
8	Madrid	PROPN	6	nmod
9	y	CCONJ	10	cc
10	precipitado	VERB	4	conj
11	la	DET	10	det
12	del	ADP	11	case
13	Atleti	PROPN	11	obj
14	,	PUNCT	16	punct
15	que	PRON	16	nsubj
16	recibe	VERB	13	acl
17	un	DET	18	det
18	golpe	NOUN	16	obj
19	deportivo	ADJ	18	amod
20	económico	ADJ	18	amod
21	y	CCONJ	22	cc
22	psicológico	ADJ	20	conj
23	de	ADP	25	case
24	infinita	ADJ	25	amod
25	crueldad	NOUN	18	nmod
26	.	PUNCT	4	punct