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 Gobierno de Mugabe pasa por su más grave crisis política y económica desde la independencia, en 1980, tras perder, en Febrero, el referendo sobre la reforma constitucional.
Postion	Tokenization
1	El
2	Gobierno
3	de
4	Mugabe
5	pasa
6	por
7	su
8	más
9	grave
10	crisis
11	política
12	y
13	económica
14	desde
15	la
16	independencia
17	,
18	en
19	1980
20	,
21	tras
22	perder
23	,
24	en
25	Febrero
26	,
27	el
28	referendo
29	sobre
30	la
31	reforma
32	constitucional
33	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Gobierno	PROPN	5	nsubj
3	de	ADP	4	case
4	Mugabe	PROPN	2	nmod
5	pasa	VERB	0	root
6	por	ADP	10	case
7	su	DET	10	det
8	más	ADV	9	advmod
9	grave	ADJ	10	amod
10	crisis	NOUN	5	obl
11	política	ADJ	10	amod
12	y	CCONJ	13	cc
13	económica	ADJ	11	conj
14	desde	ADP	16	case
15	la	DET	16	det
16	independencia	NOUN	10	nmod
17	,	PUNCT	19	punct
18	en	ADP	19	case
19	1980	NOUN	16	nmod
20	,	PUNCT	19	punct
21	tras	ADP	22	mark
22	perder	VERB	5	advcl
23	,	PUNCT	25	punct
24	en	ADP	25	case
25	Febrero	NOUN	22	obl
26	,	PUNCT	25	punct
27	el	DET	28	det
28	referendo	NOUN	22	obj
29	sobre	ADP	31	case
30	la	DET	31	det
31	reforma	NOUN	28	nmod
32	constitucional	ADJ	31	amod
33	.	PUNCT	5	punct