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:
There is a risk that observers underestimate the time that Al Qaeda has had to make progress in such recruitment and research and development.
Postion	Tokenization
1	There
2	is
3	a
4	risk
5	that
6	observers
7	underestimate
8	the
9	time
10	that
11	Al
12	Qaeda
13	has
14	had
15	to
16	make
17	progress
18	in
19	such
20	recruitment
21	and
22	research
23	and
24	development
25	.
Position	Tokenization	UPOS	Head	Deprel
1	There	PRON	2	expl
2	is	VERB	0	root
3	a	DET	4	det
4	risk	NOUN	2	nsubj
5	that	SCONJ	7	mark
6	observers	NOUN	7	nsubj
7	underestimate	VERB	4	acl
8	the	DET	9	det
9	time	NOUN	7	obj
10	that	PRON	14	obj
11	Al	PROPN	12	compound
12	Qaeda	PROPN	14	nsubj
13	has	AUX	14	aux
14	had	VERB	9	acl:relcl
15	to	PART	16	mark
16	make	VERB	14	xcomp
17	progress	NOUN	16	obj
18	in	ADP	20	case
19	such	ADJ	20	amod
20	recruitment	NOUN	17	nmod
21	and	CCONJ	22	cc
22	research	NOUN	20	conj
23	and	CCONJ	24	cc
24	development	NOUN	22	conj
25	.	PUNCT	2	punct