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 Kremlin recibió ayer un espaldarazo por parte del Tribunal Constitucional, al considerar compatible con la ley fundamental rusa el decreto presidencial que suspende temporalmente a Yuri Skuratov, el fiscal general.
Postion	Tokenization
1	El
2	Kremlin
3	recibió
4	ayer
5	un
6	espaldarazo
7	por
8	parte
9	del
10	Tribunal
11	Constitucional
12	,
13	al
14	considerar
15	compatible
16	con
17	la
18	ley
19	fundamental
20	rusa
21	el
22	decreto
23	presidencial
24	que
25	suspende
26	temporalmente
27	a
28	Yuri
29	Skuratov
30	,
31	el
32	fiscal
33	general
34	.
Position	Tokenization	UPOS	Head	Deprel
1	El	DET	2	det
2	Kremlin	PROPN	3	nsubj
3	recibió	VERB	0	root
4	ayer	ADV	3	advmod
5	un	DET	6	det
6	espaldarazo	NOUN	3	obj
7	por	ADP	10	case
8	parte	NOUN	7	fixed
9	del	ADP	7	fixed
10	Tribunal	PROPN	6	nmod
11	Constitucional	PROPN	10	flat
12	,	PUNCT	14	punct
13	al	ADP	14	mark
14	considerar	VERB	3	advcl
15	compatible	ADJ	14	obj
16	con	ADP	18	case
17	la	DET	18	det
18	ley	NOUN	15	nmod
19	fundamental	ADJ	18	amod
20	rusa	ADJ	18	amod
21	el	DET	22	det
22	decreto	NOUN	14	obj
23	presidencial	ADJ	22	amod
24	que	PRON	25	nsubj
25	suspende	VERB	22	acl
26	temporalmente	ADV	25	advmod
27	a	ADP	28	case
28	Yuri	PROPN	25	obj
29	Skuratov	PROPN	28	flat
30	,	PUNCT	32	punct
31	el	DET	32	det
32	fiscal	NOUN	28	appos
33	general	ADJ	32	amod
34	.	PUNCT	3	punct