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 racha de malos resultados, con tres derrotas consecutivas, ha agravado la situación de la Unió Esportiva Lleida, que vive un momento de crisis, que podría afectar a Miquel Corominas.
Postion	Tokenization
1	La
2	racha
3	de
4	malos
5	resultados
6	,
7	con
8	tres
9	derrotas
10	consecutivas
11	,
12	ha
13	agravado
14	la
15	situación
16	de
17	la
18	Unió
19	Esportiva
20	Lleida
21	,
22	que
23	vive
24	un
25	momento
26	de
27	crisis
28	,
29	que
30	podría
31	afectar
32	a
33	Miquel
34	Corominas
35	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	racha	NOUN	13	nsubj
3	de	ADP	5	case
4	malos	ADJ	5	amod
5	resultados	NOUN	2	nmod
6	,	PUNCT	9	punct
7	con	ADP	9	case
8	tres	NUM	9	nummod
9	derrotas	NOUN	2	nmod
10	consecutivas	ADJ	9	amod
11	,	PUNCT	9	punct
12	ha	AUX	13	aux
13	agravado	VERB	0	root
14	la	DET	15	det
15	situación	NOUN	13	obj
16	de	ADP	18	case
17	la	DET	18	det
18	Unió	PROPN	15	nmod
19	Esportiva	PROPN	18	flat
20	Lleida	PROPN	18	flat
21	,	PUNCT	23	punct
22	que	PRON	23	nsubj
23	vive	VERB	18	acl
24	un	DET	25	det
25	momento	NOUN	23	obj
26	de	ADP	27	case
27	crisis	NOUN	25	nmod
28	,	PUNCT	31	punct
29	que	PRON	31	nsubj
30	podría	AUX	31	aux
31	afectar	VERB	25	acl
32	a	ADP	33	case
33	Miquel	PROPN	31	obj
34	Corominas	PROPN	33	flat
35	.	PUNCT	13	punct