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:
Tras la firma del convenio, el secretario de Estado de Infraestructuras, Benigno Blanco, anunció la conclusión de la negociación que mantenía Renfe con su homóloga alemana para alquilar dos trenes AVE IC3 de Siemens.
Postion	Tokenization
1	Tras
2	la
3	firma
4	del
5	convenio
6	,
7	el
8	secretario
9	de
10	Estado
11	de
12	Infraestructuras
13	,
14	Benigno
15	Blanco
16	,
17	anunció
18	la
19	conclusión
20	de
21	la
22	negociación
23	que
24	mantenía
25	Renfe
26	con
27	su
28	homóloga
29	alemana
30	para
31	alquilar
32	dos
33	trenes
34	AVE
35	IC3
36	de
37	Siemens
38	.
Position	Tokenization	UPOS	Head	Deprel
1	Tras	ADP	3	case
2	la	DET	3	det
3	firma	NOUN	17	obl
4	del	ADP	5	case
5	convenio	NOUN	3	nmod
6	,	PUNCT	3	punct
7	el	DET	8	det
8	secretario	NOUN	17	nsubj
9	de	ADP	10	case
10	Estado	PROPN	8	nmod
11	de	ADP	12	case
12	Infraestructuras	PROPN	8	nmod
13	,	PUNCT	14	punct
14	Benigno	PROPN	8	appos
15	Blanco	PROPN	14	flat
16	,	PUNCT	14	punct
17	anunció	VERB	0	root
18	la	DET	19	det
19	conclusión	NOUN	17	obj
20	de	ADP	22	case
21	la	DET	22	det
22	negociación	NOUN	19	nmod
23	que	PRON	24	obj
24	mantenía	VERB	22	acl
25	Renfe	PROPN	24	nsubj
26	con	ADP	28	case
27	su	DET	28	det
28	homóloga	NOUN	24	obl
29	alemana	ADJ	28	amod
30	para	ADP	31	mark
31	alquilar	VERB	22	acl
32	dos	NUM	33	nummod
33	trenes	NOUN	31	obj
34	AVE	PROPN	33	nmod
35	IC3	PROPN	34	flat
36	de	ADP	37	case
37	Siemens	PROPN	33	nmod
38	.	PUNCT	17	punct