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 elevación del techo competencial y la mejora de la financiación serán, asegura, condiciones sin las que CiU no dará su apoyo a ningún gobierno.
Postion	Tokenization
1	La
2	elevación
3	del
4	techo
5	competencial
6	y
7	la
8	mejora
9	de
10	la
11	financiación
12	serán
13	,
14	asegura
15	,
16	condiciones
17	sin
18	las
19	que
20	CiU
21	no
22	dará
23	su
24	apoyo
25	a
26	ningún
27	gobierno
28	.
Position	Tokenization	UPOS	Head	Deprel
1	La	DET	2	det
2	elevación	NOUN	16	nsubj
3	del	ADP	4	case
4	techo	NOUN	2	nmod
5	competencial	ADJ	4	amod
6	y	CCONJ	8	cc
7	la	DET	8	det
8	mejora	NOUN	2	conj
9	de	ADP	11	case
10	la	DET	11	det
11	financiación	NOUN	8	nmod
12	serán	AUX	16	cop
13	,	PUNCT	14	punct
14	asegura	VERB	16	parataxis
15	,	PUNCT	14	punct
16	condiciones	NOUN	0	root
17	sin	ADP	19	case
18	las	DET	19	det
19	que	PRON	22	obl
20	CiU	PROPN	22	nsubj
21	no	ADV	22	advmod
22	dará	VERB	16	acl
23	su	DET	24	det
24	apoyo	NOUN	22	obj
25	a	ADP	27	case
26	ningún	DET	27	det
27	gobierno	NOUN	22	obj
28	.	PUNCT	16	punct